Data Architect

1 day ago

tamil nadu, India Tata Consultancy Services Full time

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.

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