Data Architect Jobs

Job Title:Data ArchitectTeam:Data Platform, Application & DataReports to:Engineering Manager Data Platform, Application & DataLocation:Chennai, HybridMinimum Education:Bachelors Degree or Equivalent ExperienceRecommended Tenure:7+ years in data platform engineering or architecture roles(including 3+ years in a hands-on architecture role)Role Summary:TheData Architectwill design, implement, and manage scalable, reliable, and secure dataarchitectures that power analytics, integrations, and real-time processing across theorganization. As part of theData Platform team, this role collaborates closely withSolutionArchitects, Data Engineers, and cross-functional stakeholdersto ensure that data modelsand systems are aligned with business needs and enterprise architecture standards.Key Responsibilities:Architecture & Design: Translate business and technical requirements into well-defineddata models andarchitecture specifications. Design and documentlogical and physical data models,data flow diagrams,andintegration patterns. Align data architecture withapplication design and system interaction patternsincollaboration with Solution Architects. Establish and maintainbest practices and design standardsfor relational, NoSQL,and streaming data solutions.Solution Delivery & Support: Act as ahands-on architecture leadduring discovery, planning, and delivery phasesof data projects. Guide data engineers in implementing solutions consistent with architectureprinciples and project requirements. Conductdesign and code reviewsto ensure solution quality, scalability, andcompliance. Drive platform evolution by defining and enforcingreusable, modular, and scalablearchitecture practices.Data Governance & Quality: Define and enforcebest practices for data modeling, data security, andperformance tuning. Maintain consistency inmetadata, naming conventions, and data accessstandardsacross environments. Supportdata privacy, classification, and auditabilityrequirements across integratedsystems.Cross-Functional Collaboration: Partner withProduct Managers, Engineering Leads, DevOps, and Analytics teamstodeliver end-to-end data solutions. Collaborate withSolution Architectsto ensure cohesive design and delivery acrossapplication and data domains. Serve as asubject matter experton data structures, semantics, and lifecyclemanagement across key business areas.Key Competencies & Skills: Experience:7+ years in data engineering or data architecture roles, with at least 3years in an architecture-focused position. Cloud Platforms:Proven expertise inGCPand/orAzure, with deep understanding ofnative data services. Data Technologies:Strong understanding ofrelational, NoSQL, and object storageparadigms. Databases:Hands-on experience withOracleandPostgreSQL; proficiencyinPythonpreferred. DevOps for Data:Familiarity withinfrastructure-as-code (IaC)andCI/CDpipelinesfor data engineering. Soft Skills:Excellent communication and stakeholder management skills, with theability tolead through influence. Work Ethic:Self-motivated, organized, and capable of managing multiple initiativessimultaneously.

Experience in PMC. Work experience with Builder & Contractor. 5 Year Experience in construction site. Liasoning with Architect. Ability to understand Drawing. Ability to type in Gujarati (Tera & Kinnari Font). Ability in Layout work & MS Word & MS Excel.

We are looking for a highly experienced Python Architect to design and lead large-scale, enterprise-grade Python solutions for AI, data, and analytics platforms. The role requires deep hands-on expertise in Python across architecture, development, and production systems, supporting end-to-end AI and data-driven solutions.Key Responsibilities:Architect scalable, high-performance systems using Python as the core technologyDefine technical architecture for AI, data engineering, and analytics platformsLead design and development of microservices, APIs, and backend frameworks in PythonEnsure production-ready implementations with strong focus on performance, security, and reliabilityCollaborate with data science, ML, DevOps, and product teams to operationalize AI solutionsEstablish coding standards, best practices, and architectural guidelinesReview code, mentor senior engineers, and provide technical leadershipDrive innovation and continuous improvement in Python-based system designRequired Skills & Qualifications:1218 years of experience working fully and extensively in PythonStrong expertise in Python system architecture and large-scale backend designExperience supporting AI/ML, data engineering, or analytics platformsSolid understanding of microservices, REST APIs, and distributed systemsHands-on experience with cloud platforms (AWS/Azure/GCP)Strong problem-solving skills and ability to lead complex technical initiativesExcellent communication and stakeholder collaboration skills

Database analysts design, develop and administer data management solutions using database management software. Data administrators develop and implement data administration policy, standards and models. They are employed in information technology consulting firms and in information technology units throughout the private and public sectors.This group performs some or all of the following duties:Database analystsCollect and document user requirementsDesign and develop database architecture for information systems projectsDesign, construct, modify, integrate, implement and test data models and database management systemsConduct research and provide advice to other informatics professionals regarding the selection, application and implementation of database management toolsOperate database management systems to analyze data and perform data mining analysisMay lead, co-ordinate or supervise other workers in this group.Data administratorsDevelop and implement data administration policy, standards and modelsResearch and document data requirements, data collection and administration policy, data access rules and securityDevelop policies and procedures for network and/or Internet database access and usage and for the backup and recovery of dataConduct research and provide advice to other information systems professionals regarding the collection, availability, security and suitability of dataWrite scripts related to stored procedures and triggersMay lead and co-ordinate teams of data administrators in the development and implementation of data policies, standards and models.

# We're Hiring: Data Engineer Architect (Interview Panel)Are you a data visionary ready to shape scalable, high-performance architectures? Join our interview panel and work on cutting-edge data platforms! Role: Data Engineer Architect (Interview Panel)Type: Freelance/Project-BasedExperience: 8+ years in Data Engineering/ArchitectureExpertise: Data pipelines, cloud platforms (AWS/GCP/Azure), Spark, Python/Scala, SQLLocation: Remote

Job DescriptionAs a Data & Analytics Architect, you will lead key data initiatives, including cloud transformation, data governance, and AI projects. You'll define cloud architectures, guide data science teams in model development, and ensure alignment with data architecture principles across complex solutions. Additionally, you will create and govern architectural blueprints, ensuring standards are met and promoting best practices for data integration and consumption.Strong cloud data architecture knowledge (preference for Microsoft Azure)8-10+ years of experience in data architecture, with proven experience in cloud data transformation, MDM, data governance, and data science capabilities.Design reusable data architecture and best practices to support batch/streaming ingestion, efficient batch, real-time, and near real-time integration/ETL, integrating quality rules, and structuring data for analytic consumption by end uses.Ability to lead software evaluations including RFP development, capabilities assessment, formal scoring models, and delivery of executive presentations supporting a final recommendation.Well versed in the Data domains (Data Warehousing, Data Governance, MDM, Data Quality, Data Standards, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, non-traditional data and multi-media, ETL, ESB).Experience with cloud data technologies such as Azure data factory, Azure Data Fabric, Azure storage, Azure data lake storage, Azure data bricks, Azure AD, Azure ML etc.Experience with big data technologies such as Cloudera, Spark, Sqoop, Hive, HDFS, Flume, Storm, and Kafka.

Key Responsibilities Requirement Analysis: Collaborate with stakeholders to understand businessrequirements and data sources, and define the architecture and design of dataengineering models to meet these requirements. Architecture Design: Design scalable, reliable, and efficient data engineering models,including algorithms, data pipelines, and data processing systems, to support businessrequirements and quantitative analysis. Technology Selection: Evaluate using POCs and recommend appropriate technologies,frameworks, and tools for building and managing data engineering models, consideringfactors like performance, scalability, and cost-effectiveness. Data Processing: Develop and implement data processing logic, including data cleansing,transformation, and aggregation, using technologies such as AWS Glue, Batch, Lambda. Quantitative Analysis: Collaborate with data scientists and analysts to develop algorithmsand models for quantitative analysis, using techniques such as regression analysis,clustering, and predictive modeling. Model Evaluation: Evaluate the performance of data engineering models using metricsand validation techniques, and iterate on models to improve their accuracy andeffectiveness. Data Visualization: Create visualizations of data and model outputs to communicateinsights and findings to stakeholders.Data Engineering: Understanding of Data engineering principles and practices, includingdata ingestion, processing, transformation, and storage, using tools and technologiessuch as AWS Glue, Batch, Lambda. Quantitative Analysis: Proficiency in quantitative analysis techniques, including statisticalmodeling, machine learning, and data mining, with experience in implementingalgorithms for regression analysis, clustering, classification, and predictive modeling. Programming Languages: Proficiency in programming languages commonly used in dataengineering and quantitative analysis, such as Python, R, Java, or Scala,

Company Descriptioninsightsoftware is a global provider of comprehensive solutions for the Office of the CFO.We believe an actionable business strategy begins and ends with accessible financial data. With solutions across financial planning and analysis (FP&A), accounting, and operations, we transform how teams operate, empowering leaders to make timely and informed decisions. With data at the heart of everything we do, insightsoftware enables automated processes, delivers trusted insights, boosts predictability, and increases productivity. Learn more at insightsoftware.comJob DescriptionLocation: Hyderabad (Work from Office)Working Hours: 5:00PM - 2:00AM IST Position SummaryThe Team Lead, Data Conversion will build positive relationships with customers and serve as a primary point of contact for large scale complex product implementations and business-led change initiatives. The role will include, but is not limited to:10+ years of total experience in IT and at least 9+ yrs working experience in any ETL Tool.Leading the data conversion team to implement conversion implementation project deliverables.Collaborating with client operations and executive teams, confirming business requirements, and aligning to technical requirements.Understanding project status and facilitate achievement of project objectives and priorities.Identifying process gaps and facilitating continuous refinement of conversion methodology.Overseeing data-related initiatives and identifying innovation and improvement opportunities.Adapting to and incorporating best practices across the conversion team while documenting and communicating to impacted stakeholders.Acting as an escalation point for active client engagements.Facilitating the accurate and timely integration mapping of client data from source system to our industry-leading platform.Applying and staying within the requirements of project governance, standards, and processes.Working in collaboration with project man

1. Manage Meta (Facebook & Instagram) ad campaigns.2. Create targeted ads and track performance.3. Develop remarketing strategies.4. Generate leads and analyze campaign results.

Cloud Data Engineering + Cloud Data Architecture + Data Integration Data Architecture Expertise:Lead the design and implementation of robust, scalable and secure data platform architecture Solution Design Expertise: Serve as a trusted advisor to our data architecture, data engineering teams, providing guidance on cloud architecture design, implementation strategies and best practices.GCP Expertise:Demonstrate proficiency in GCP tools and services, including BigQuery, CloudSpanner, Dataflow, DataForm, Dataprep, and Healthcare APIs. Stay abreast of GCP updates and incorporate new features into our architecture.Place : ChennaiExperience : 8+ YearsNo of openings : 2Skills : Data Integration, warehouse implementations , ETL/ELT Tools, Python, Data normalization and denormalization techniques.

Design, develop, and maintain scalable data processing pipelines using Kafka, PySpark, Python/Scala, and Spark.Work extensively with the Kafka and Hadoop ecosystem, including HDFS, Hive, and other related technologies.Write efficient SQL queries for data extraction, transformation, and analysis.Implement and manage Kafka streams for real-time data processing.Utilize scheduling tools to automate data workflows and processes.

Are you a Mid/Senior level T-Shaped AWS expert with specialization in DevOps and Data Engineering space? If yes, We have an exciting opportunity just for you.One of our reputed European Client is looking for AWS engineers to help them build secure, resilient and cost-effective solutions on AWS platform to reap the benefits from their investment in AWS platform and services.We are looking for self-motivated, highly experienced engineers, possessing great analytical and excellent communication skills for this client facing role.What do we expect from you?Role: Data Engineer (AWS)*Mandatory*Experience in Developing Data Pipelines that process large volumes of data using Python, PySpark, Pandas etc, preferably on AWS.Experience in ingesting batch and streaming data from various data sources.Experience in writing complex SQL using any RDBMS (Oracle, PostgreSQL, SQL Server etc.)Experience in developing ETL, OLAP based and Analytical Applications.Ability to quickly learn and develop expertise in existing highly complex applications and architectures.Comfortable working in Agile projects*Desirable*Exposure to AWS platform's data services (AWS Lambda, Glue, Athena, Redshift, Kinesis etc.)Knowledge of DevOps and CD/CD tools.Experience in handling unstructured dataKnowledge of Financial Markets domainKeywords: Data Engineer, Data Pipelines, Data Ingestion, AWS Lambda, AWS Athena

Job Description AWS Data Engineer with min of 5 to 7 years of experience. Collaborate with business analysts to understand and gather requirements for existing or new ETL pipelines. Connect with stakeholders daily to discuss project progress and updates. Work within an Agile process to deliver projects in a timely and efficient manner. Design and develop Airflow DAGs to schedule and manage ETL workflows. Transform SQL queries into Spark SQL code for ETL pipelines. Develop custom Python functions to handle data quality and validation. Write PySpark scripts to process data and perform transformations. Perform data validation and ensure data accuracy and completeness by creating automated tests and implementing data validation processes. Run Spark jobs on AWS EMR cluster using Airflow DAGs. Monitor and troubleshoot ETL pipelines to ensure smooth operation. Implement best practices for data engineering, including data modeling, data warehousing, and data pipeline architecture. Collaborate with other members of the data engineering team to improve processes and implement new technologies. Stay up to date with emerging trends and technologies in data engineering and suggest ways to improve the team's efficiency and effectiveness.

LMLP Database monitoring, review, and error or consistency correction.Assembling, arranging, and getting ready papers, materials, and data for data input.Additional computer training or certification will be an asset1-year experience as a data entry operator

I require a person to assist us with a Data Scientist Udemy Course. If the person has the training videos ready, it's the best. If not, the person should be willing to create a course. The person has to create the full course.To Apply please go to GerardYadGG LinkedIn's Page, you will find the website link there, you can apply there. Please apply there to be considered.100% worldwide remote.ID PI 09Thank You.

I require a person to assist us with a Python Developer Udemy Course. If the person has the training videos ready, it's the best. If not, the person should be willing to create a course. The person has to create the full course.To Apply please go to GerardYadGG LinkedIn's Page, you will find the website link there, you can apply there. Please apply there to be considered.100% worldwide remote.ID: PL300Thank You.

Role : Informatica MDM Developer / Profisee MDM DeveloperSkills : 5+ years direct experience in MDM design, development, support and operations with Informatica MDM tool suite. Hands-on expertise required with Informatica tools and utilities such as Data Controls, Data Director and Data Quality. Extensive knowledge and experience in defining Master Data Management strategies, implementing MDM services and capabilities, Metadata Management, Data Governance, and Data Quality solutions. Familiarity with enterprise data integration technologies and methods such as ETL, data replication, and data services. Experience with enterprise level data analysis and integration work and/or providing data focused systems integration solutions. Demonstrated business acumen and the ability to apply technology solutions to solve business problems.. Experience with Profisee Informatica is first preference if you dont et please send MDM Informatica experience profiles..Min 5+ relevant experience required.ACS Notes:Aparajita time to join: ie: Immediate or within 21 daysWork location : Bangalore, Chennai, Hyderabad Hybrid( 2 or 3 days work from Office).No of positions : 8Experience : 5+ YearsBudget : 5+ yrs upto 11 lpa6+ yrs upto 13 lpa7+ yrs upto 15 lpa

I require a person to assist us with a Data Science Udemy Course. If the person has the training videos ready, it's the best. If not, the person should be willing to create a course. The person has to create the full course.To Apply please go to GerardYadGG LinkedIn's Page, you will find the website link there, you can apply there. Please apply there to be considered.100% worldwide remote.ID PI 201

Database analysts design, develop and administer data management solutions using database management software. Data administrators develop and implement data administration policy, standards and models. They are employed in information technology consulting firms and in information technology units throughout the private and public sectors.This group performs some or all of the following duties:Database analystsCollect and document user requirementsDesign and develop database architecture for information systems projectsDesign, construct, modify, integrate, implement and test data models and database management systemsConduct research and provide advice to other informatics professionals regarding the selection, application and implementation of database management toolsOperate database management systems to analyze data and perform data mining analysisMay lead, co-ordinate or supervise other workers in this group.Data administratorsDevelop and implement data administration policy, standards and modelsResearch and document data requirements, data collection and administration policy, data access rules and securityDevelop policies and procedures for network and/or Internet database access and usage and for the backup and recovery of dataConduct research and provide advice to other information systems professionals regarding the collection, availability, security and suitability of dataWrite scripts related to stored procedures and triggersMay lead and co-ordinate teams of data administrators in the development and implementation of data policies, standards and models.

Database analysts design, develop and administer data management solutions using database management software. Data administrators develop and implement data administration policy, standards and models. They are employed in information technology consulting firms and in information technology units throughout the private and public sectors.This group performs some or all of the following duties:Database analystsCollect and document user requirementsDesign and develop database architecture for information systems projectsDesign, construct, modify, integrate, implement and test data models and database management systemsConduct research and provide advice to other informatics professionals regarding the selection, application and implementation of database management toolsOperate database management systems to analyze data and perform data mining analysisMay lead, co-ordinate or supervise other workers in this group.Data administratorsDevelop and implement data administration policy, standards and modelsResearch and document data requirements, data collection and administration policy, data access rules and securityDevelop policies and procedures for network and/or Internet database access and usage and for the backup and recovery of dataConduct research and provide advice to other information systems professionals regarding the collection, availability, security and suitability of dataWrite scripts related to stored procedures and triggersMay lead and co-ordinate teams of data administrators in the development and implementation of data policies, standards and models.

Database analysts design, develop and administer data management solutions using database management software. Data administrators develop and implement data administration policy, standards and models. They are employed in information technology consulting firms and in information technology units throughout the private and public sectors.This group performs some or all of the following duties:Database analystsCollect and document user requirementsDesign and develop database architecture for information systems projectsDesign, construct, modify, integrate, implement and test data models and database management systemsConduct research and provide advice to other informatics professionals regarding the selection, application and implementation of database management toolsOperate database management systems to analyze data and perform data mining analysisMay lead, co-ordinate or supervise other workers in this group.Data administratorsDevelop and implement data administration policy, standards and modelsResearch and document data requirements, data collection and administration policy, data access rules and securityDevelop policies and procedures for network and/or Internet database access and usage and for the backup and recovery of dataConduct research and provide advice to other information systems professionals regarding the collection, availability, security and suitability of dataWrite scripts related to stored procedures and triggersMay lead and co-ordinate teams of data administrators in the development and implementation of data policies, standards and models.