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Tata Consultancy Services
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Data Architect

Data Architect

Tata Consultancy Services

8 - 12 years

0 Lacs

pune maharashtra india

Posted:1 day ago| Platform:

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Skills Required

data sql pipeline orchestration databricks apache spark aws redshift azure gcp dataflow composer security iam encryption masking governance cataloging communication engagement ai ml design architecture strategies nosql devops etl documentation flow drive migration compliance

Work Mode

On-site

Job Type

Full Time

Job Description

TCS is Hiring Data Architect For Pune and Chennai location

Experience

Mode of interview

Location

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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