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.

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.

Technical Skills: In-depth knowledge of AWS services (IAM, Redshift, Step Functions) Infrastructure as code tools (CloudFormation Stack) Database technologies (SQL, NoSQL) Data processing and analysis tools (AWS Glue, EMR) Big data frameworks (Hadoop, Spark) ETL tools (IBM DataStage, ODI, Informatica, Talend, Microsoft SQL Server Integration Services, Apache Nifi) Data warehousing architecture, Architecture Design Collaboration tools (JIRA, Confluence).If you are looking for a new challenge and have the relevant experience, apply now or tag someone who'd be perfect for this role.Send your resume to : hr@talme.in

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.

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

We are looking for 100 online data entry Posts in Kolkata,Data Architect, with deep knowledge in Data Architect and Required Educational Qualification is : Higher Secondary, Secondary School, Diploma, Professional Degree, Other Bachelor Degree

Job Description:Significant experience in data and reporting requirements gathering and documentation, data analysis and design, developing data visualisation wireframes, and interfacing with business teams on user acceptance testing and training.Experience in gathering documenting business process and rules, source system process, and data flows as well as data mapping for all fields in Bl report to support the development and implementation teams.Experience in analysis of data fields required to migrate data, or to develop data feed between internal systems or third-party applications as well as ability to identify data sources for each of these requirements including the design of detailed mappings and logic/transformations.Experience in data requirements analysis for the data tables/ data marts supporting for the reporting requirements.Experience in preparing test cases, user manuals and user training on data and reporting artefacts.Experience in using data management tools (Data Governance, Metadata Management, Data Quality, Master/Reference Data, etc.), SQL, data analysis tools and Business Intelligence reporting toolsExcellent verbal and written communication skills, capable of communicating with audiences at all levels with clarity, impact and influence.Demonstrated evidence of being self-motivated, results orientated and driven to improve business processes.Demonstrated evidence of ability to partner effectively with business users and establish strong professional relationships across the enterprise.

Software Galaxy Systems, LLC (SGS) is an award-winning Contingent Workforce Services firm providing a broad range of integrated suite of services through a global delivery platform. SGS brings innovative talent management strategies to empower its clients to stay focused on growth of their core competencies. SGS has developed a comprehensive process-oriented methodology to manage high-volume contingent labor, payroll services and SOWs for todays competitive landscape.SGS is proud of the partnerships it has built with its clients, MSPs, and employees which has allowed it to deliver unparalleled service to its wide-ranging customer base. SGS is a certified minority owned enterprise that provides innovative yet practical solutions, from concept through execution. We combine technology with strategy and aim to deliver results today that endure tomorrow. SGS client centric approach delivers unparalleled value with vastly responsive, streamlined and highly process oriented workforce solutions.SGS has been awarded and acknowledged by leading MSPs (i.e., KellyOCG, TAPFIN, Guidant Global, etc.) for its exemplary performance in the contingent workforce space.

10+ years' of experience in a technical role with expertise in data governance and data warehousing - such as setting up DataBricks as a Service modelProduction deployment experience with data governance solutions and hands-on experience with cloud data lakes.Experience with design and implementation of data warehousing technologies.Deep Specialty Expertise with scaling big data workloads that are performant and cost-effective - including technologies such as Delta LakeSupport customers by authoring reference architectures, how-to, and demo applicationsExperience working with Enterprise AccountsIntegrate Databricks with 3rd-party applications to support customer architectures.Experience designing and implementing architectures within public clouds (AWS, Azure or GCP)Good communication Skillsif you are interested kinly drop a mail we reach us

we are in the lookout for a seasoned Cloud Data Lead. We are eager to connect with you if you have extensive experience in cloud platforms, data architecture, and leadership!

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.