Data Architect Female Graduate Jobs in Chennai

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.

# 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

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.

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

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.

Responsibilities:Design and implement effective database solutions and models to store and retrieve company data.Examine and identify database structural necessities by evaluating client operations, applications, and programming.Access database implementation procedures to ensure they comply with internal and external regulations.Install and organize information systems to guarantee company functionality.Prepare accurate database design and architecture reports for management and executive teams.Oversee the migration of data from legacy systems to new solutions.Monitor the system performance by performing regular tests, troubleshooting, and integrating new features.Recommend solutions to improve new and existing database systems.Educate staff members through training and individual support.Offer support by responding to system problems in a timely manner.Requirements:Bachelors degree in computer science, computer engineering, or relevant field.A minimum of 2 years experience in a similar role.Strong knowledge of database structure systems and data mining.Excellent organizational and analytical abilities.Outstanding problem solver.Good written and verbal communication skills.

Job DescriptionThe Big Data/Analytics Solution Architect is responsible for understanding emerging and evolving end user usage models and requirements in Big Data and Analytics, documenting those usage models and business, technical and user requirements and designing a solutions architecture to meet those requirements and specifying an implementation HW and SW solution stack. Solution architects document the solution architectures and solution requirements and, when needed, define end user proofs of concept to test the architectures, usage models and corresponding Intel technologies in testbed or real end user environments. They also work with end users and ecosystem partners to deploy those solutions in early adopter production environments. A strong candidate will have:Experience in Requirements Engineering, Solution Architecture, Design, Development and DeploymentA broad set of technical skills and knowledge across hardware, software, systems and solutions development and a across more than one technical domain.Demonstrated experience in real world IT or other solutions environments including creating (on your own or with a team) a product or IT solution in the area of Big Data/AnalyticsStrong communication skills including representing your company in industry standards organizations or industry technical forums or events in Cloud SecurityStrong technical team leadership, mentorship and collaboration.Ability to develop technical relationships with end-users, ISVs, OEMs and Intel platform architects and Proof-Of-Concept engineers.

ResponsibilitiesCreate and maintain optimal data pipeline architectureAssemble large, complex data sets that meet functional / non-functional business requirements.Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Open Source and AWS big data technologiesBuild analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.Work with data and analytics experts to strive for greater functionality in our data systems.QualificationsExperience building and optimizing big data pipelines, architectures and datasets.Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.Experience interacting with customers and various stakeholders.Strong analytical skills related to working with unstructured datasets.Build processes supporting data transformation, data structures, metadata, dependency and workload management.Working knowledge of message queuing, stream processing, and highly scalable big data lakes.Strong project management and organizational skills.Experience supporting and working with cross-functional teams in a dynamic environment.They should also have experience using the following software/tools:Big data technologies: Hadoop, Spark, Kafka, etc.Relational SQL and NoSQL databases, including Postgres and Cassandra.Data pipeline and workflow management tools: Airflow, NiFi etc.Cloud services: AWS - EMR, RDS, Redshift, Glue. Azure - Databricks, Data Factory. GCP - Dataproc, Pub/SubStream-processing systems: Storm, Spark Streaming, Flink etc.