205 Data Architect jobs in Chennai

Description

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are looking for Solution Architects for data-driven projects to join our Data Practice team in India. Together we design and drive lots of solutions that generate value from data, taking advantage of scalable platforms, cutting-edge technologies, and machine learning algorithms. We provide a solid architecture framework, educational programs, and a strong SA community to support our new Architects in a deep dive into the data domain.

Responsibilities

Requirements

We offer

TCS Opportunity! Solution Data Architect

Role: Solution Data Architect

Required Technical Skill: Telecom BSS Solution architecture, Hands on in designing architecture for complex projects, JIRA, Agile, TMforum ODA, Kafka, Microservices, SpringBoot

Experience Range: 10+ Years

Work Location: Chennai/Hyderabad

NOTE: If any of the skills/profile matches and are interested, please reply to this message by attaching your latest updated CV and with below few details:

**(Ex-TCSer/Already Selected for TCS please ignore this mail)

If not interested, please ignore this message and accept my apologies.

Name:

Preferred Location:

Contact Number:

Email ID:

Highest Qualification in: (Full Time Course Only)

Current Organization Name:

Total IT Experience:

Current CTC:

Expected CTC:

Notice Period:

Have you ever worked with TCS directly and indirectly:

TCS EP No. if you already have: (Not Mandatory)

PFB Job Description

Must Have:

• Telecom BSS Solution architecture, Hands on in desgning architecture for complex projects , JIRA , Agile , Tmforum
• Liaise with Business Analyst and business uses to get clarifications
• Participate in meetings with business users to get more details on the requirements
• Impact Analysis on BSS and other in-scope applications
• Highlight challenges/risks, if any, in implementing the requirements
• Discuss with the Design team to get more details on the external systems impact
• Prepare high level solution for the requirements
• Prepare the T Shirt sizing estimates with the support from developers and have the efforts approved
• Prepare high level design document
• Walk through the design document with all the stakeholders to get the sign-off from Customer
• Hand-over the signed design document to the developers to start the development
• Provide inputs/clarifications to developers (of the impacted in-scope systems)
• Review of test scenarios to ensure all changes are covered as part of testing
• Coordinate between business, development and testing teams in case of any gaps in the requirement /solution

Thanks,

Venkatesh K

TAG Recruiter at Tata Consultancy Services

Position – Data Architect

Experience: 8+ years

Position Overview

We are seeking a Data Architect who can understand enterprise data from the ground up and translate it into scalable, reliable, and dynamic designs. The ideal candidate will not only build robust data foundations but also leverage Generative AI (GenAI) and advanced data insights frameworks to unlock predictive, actionable intelligence for the enterprise.

Key Responsibilities

• Analyze and understand enterprise-wide data sources , including structured and unstructured datasets.
• Design and implement data models and architectures to support dynamic reporting, advanced analytics, and predictive capabilities.
• Architect scalable data pipelines, warehouses, and lakehouse solutions with high performance and reliability.
• Integrate GenAI solutions to generate insights, automate documentation, and enhance data accessibility across the organization.
• Define and enforce data standards, governance, security, and compliance practices enterprise-wide.
• Collaborate with business stakeholders, data engineers, AI/ML teams, and analysts to ensure alignment of solutions with business outcomes.
• Create systems to deliver real-time and batch insights , enabling dynamic dashboards, AI-driven recommendations, and predictive reporting.
• Drive data democratization by making insights consumable for both technical and non-technical teams.
• Lead data modernization efforts , including migration from legacy to modern cloud-native platforms.
• Provide technical leadership and mentorship on data, AI adoption, and architecture best practices.

Required Skills & Experience

• Strong foundation in RDBMS design, data modeling, and schema optimization .
• Advanced skills in SQL (performance tuning, complex queries, analytics functions).
• Proven experience in data warehouse, data lake, or lakehouse architectures .
• Proficiency in ETL/ELT frameworks and data integration tools (Informatica, Talend, dbt, Glue).
• Expertise in cloud data platforms (AWS Redshift, Azure Synapse, GCP BigQuery, Snowflake).
• Understanding of GenAI frameworks (OpenAI, Vertex AI, Bedrock, Azure OpenAI) for data generation, automation, and summarization.
• Knowledge of data governance, metadata, lineage, and enterprise data quality practices .
• Experience with real-time streaming (Kafka, Kinesis, Flink) and big data ecosystems (Hadoop, Spark) .
• Familiarity with data science, AI/ML model pipelines , and insight delivery systems.
• Strong communication skills to present data insights and AI-driven recommendations clearly to executives and business leaders.

Preferred Qualifications

• 8+ years of experience in data architecture, enterprise data strategy, or data modernization programs .
• Hands-on with AI-driven analytics and GenAI adoption in enterprise environments .
• Knowledge of enterprise architecture frameworks (TOGAF, DAMA-DMBOK).
• Prior experience in enterprise applications design with any vertical like financial, healthcare or etc .

Expectation

• Design next-generation enterprise data and AI architectures.
• Exposure to cutting-edge GenAI platforms to accelerate data insights and innovation.
• Working in a collaborative environment where vision drives enterprise data strategies.
• Growth in cloud, AI-driven analytics, and predictive insights engineering.

Hands-On | Micro Data Lakes | Enterprise Data Strategy

Are you a hands-on Data Architect who thrives on solving complex data problems across structured and unstructured sources? Do you enjoy designing micro data lakes and driving enterprise-wide data strategy? If so, we want to hear from you.

What You Will Do

Design and build micro data lakes tailored to lending domain

Define and implement enterprise data strategies including modelling, lineage, and governance

Architect and build robust data pipelines for batch and real-time data ingestion

Develop strategies for extracting, transforming, and storing data from APIs, PDFs, logs, databases, and more

Establish best practices for data quality, metadata management, and data lifecycle control

Hands-on in implementation of processes, strategies and tools to create differentiated products. – MUST HAVE

Collaborate with engineering and product teams to align data architecture with business goals

Evaluate and integrate modern data platforms and tools such as Databricks, Spark, Kafka, Snowflake, AWS, GCP, Azure

Mentor data engineers and advocate for engineering excellence in data practices

What You Bring

10+ years of experience in data architecture and engineering

Deep understanding of structured and unstructured data ecosystems

Hands-on experience with ETL, ELT, stream processing, querying and data modelling

Proficiency in tools and languages such as Spark, Kafka, Airflow, SQL, Amundsen, Glue Catalog and Python

Expertise in cloud-native data platforms including AWS, Azure, or GCP

Strong grounding in data governance, privacy, and compliance standards

A strategic mindset with the ability to execute hands-on when needed

Nice to Have

Exposure to the lending domain

Exposure to ML pipelines or AI integrations

Background in fintech, lending, or regulatory data environments

What We Offer

An opportunity to lead data-first transformation, create products that accelerate AI adoption

Autonomy to design, build, and scale modern data architecture

A forward-thinking, collaborative, and tech-driven culture

Access to the latest tools and technologies in the data ecosystem

Location: Chennai

Experience: 10-15 Years | Full-Time | Work From Office

TCS is Hiring Data Architect For Pune and Chennai location

Experience : 8 - 12 years

Mode of interview : Virtual

Location : Pune / Chennai

JOB DESCRIPTION:

Must have:

• Proficiency in SQL, data modeling tools, and pipeline orchestration tools.
• Familiar with modern data stacks (Snowflake, Databricks, Apache Spark, Kafka).
• Hands-on experience with at least one major cloud provider:
• AWS: S3, Glue, Redshift, Lake Formation, Athena, EMR
• Azure: Synapse, Data Factory, Data Lake Gen2, Databricks, Cosmos DB
• GCP: BigQuery, Dataflow, Pub/Sub, Cloud Composer, Dataplex
• Solid understanding of security best practices (IAM, encryption, data masking, tokenization).
• Strong knowledge of data governance, cataloging, and metadata management.
• Excellent communication and stakeholder engagement skills.

Good to have:

• Cloud certifications
• Experience with AI/ML data pipelines or MLOps integration.
• Familiarity with Data Mesh, Data Fabric, or event-driven architectures

Responsibilities:

• Design and implement enterprise-wide data architecture strategies in the cloud (AWS, Azure, GCP, or multi-cloud).
• Architect data lakes, lakehouses, data warehouses, and real-time streaming platforms.
• Define and enforce data modeling standards (dimensional, NoSQL, normalized) across the organization.
• Collaborate with data engineers, analysts, scientists, and DevOps to translate business needs into scalable data solutions.
• Design data ingestion pipelines (batch, stream) using modern ETL/ELT frameworks.
• Ensure high levels of data quality, security, lineage, and governance.
• Evaluate and recommend cloud-native services and tools based on evolving needs.
• Create architecture documentation, data flow diagrams, and reference implementations.
• Drive data modernization efforts and lead legacy-to-cloud migration initiatives.
• Stay up to date with emerging trends in cloud data platforms, AI/ML workloads, and data compliance regulations.

Responsibilities:

• Lead assessment of legacy data (SAP C4C, HubSpot, Excel)
• Define Salesforce data model and mapping strategy
• Oversee migration design, validation, and reconciliation process
• Support data quality and governance framework

Requirements:

• 6+ years of experience in data architecture roles
• Strong experience with CRM data structures and migration practices
• Experience with ETL tools, MuleSoft, and Salesforce data loaders
• Excellent in data modeling, integrity, and quality assurance
• Salesforce Certified Data Architect
  /
  Salesforce Certified Integration Architect
  /
  ETL Tool Certification
  certifications are preferred.

Job Summary:

The Senior Data Architect will lead the design and implementation of scalable, high performance data architectures across both on-premises and cloud environments. This role involves advanced data modelling, SQL development, and ETL design, with a strong focus on data quality, integrity, and strategy. The architect will collaborate closely with cross-functional teams to align technical solutions with business needs, perform in depth data analysis, and drive the development of robust data models that support long-term organisational goals.

Core Competencies:

• Data Architecture & Strategy

• Advanced Data Modelling (Star, Snowflake)

• SQL Development (Partitioning, Stored Procedures, Recursive Queries)

• Data Profiling & Root Cause Analysis

• ETL Design & Implementation

• Cloud & On-Premise Data Platforms (Oracle, Databricks)

• Data Quality & Governance

• Stakeholder Engagement

• Change Data Capture & Audit Strategy

• Cross-Functional Collaboration

Roles and Responsibilities:

• Analyse existing data sources to understand data flow, relationships, and usage.

• Design and implement scalable data models following best practices in normalisation, denormalization, and dimensional modelling.

• Develop and optimise complex SQL queries, including recursive SQLs and macros, to extract, transform, and analyse data.

• Architect end-to-end data strategies aligned with future-state objectives, focusing on performance, scalability, and flexibility.

• Reverse engineer data models through data profiling, identifying key attributes and relationships.

• Collaborate with business and technical stakeholders to map data patterns to underlying processes and use cases.

• Conduct root cause analysis (RCA) to troubleshoot data inconsistencies and propose effective resolutions.

• Perform frequency distribution and statistical analyses to detect data trends and quality issues.

• Design and implement change data capture (CDC), audit logging, and reference data strategies.

• Define and create mapping tables and helper tables to support flexible and configurable ETL processes.

• Own and ensure data integrity, accuracy, and completeness across platforms.

General Attributes:

• Demonstrates intellectual curiosity and passion for uncovering insights in complex datasets.

• Skilled communicator capable of translating technical concepts into actionable insights for diverse stakeholders.

• Engages effectively with clinicians, researchers, data scientists, and IT teams to gather requirements and align objectives.

• Leads deep-dive data analysis initiatives to support data-driven decision making.

• Collaborates across departments to deliver robust, business-aligned data models and solutions.

Preferred Skills

• Familiarity with data visualisation tools (e.g., Tableau, Power BI) is an advantage.

• Experience in the Life Sciences or Pharmaceutical industry is highly desirable.