Data Architect

Greetings from TCS!!!

TCS is hiring for Data Architect (Azure/AWS

)Experience: 8-15 year

sJob Location: An

y
Mode of Interview: Virtu

al


Job Descripti

on: -Job Requirem

ents*Design of data lakes, lakehouses, data warehouses, and real-time streaming platforms, ETL/ELT & Pipeline Development, Data Pipelines, Regulations and Compliances, Model building processes, Data Governance, orchestration tools like Airflow and other workflow platforms, Azure Data Factory pipelines, Databricks. modern data stacks (Snowflake, Databricks, Apache Spark, Kafka). Programming skills like SQL, Python, and data transformation

logic
Mus

• t-HaveProficiency in SQL, data modeling tools, and pipeline orchestration
• tools.Familiar with modern data stacks (Snowflake, Databricks, Apache Spark, K
• afka).Hands-on experience with at least one major cloud pro
• vider:AWS: S3, Glue, Redshift, Lake Formation, Athen
• a, EMRAzure: Synapse, Data Factory, Data Lake Gen2, Databricks, Cos
• mos DBGCP: BigQuery, Dataflow, Pub/Sub, Cloud Composer, Da
• taplexSolid understanding of security best practices (IAM, encryption, data masking, tokeniza
• tion).Strong knowledge of data governance, cataloging, and metadata manag
• ement.Excellent communication and stakeholder engagement s

kills.

Good

• -to-HaveCloud certif
• icationsExperience with AI/ML data pipelines or MLOps inte
• gration.Familiarity with Data Mesh, Data Fabric, or event-driven archit

ectures.

Responsibility of / Expectations from

the Role Design and implement enterprise-wide data architecture strategies in the cloud (AWS, Azure, GCP, or mul

ti-cloud).Architect data lakes, lakehouses, data warehouses, and real-time streaming

platforms.Define and enforce data modeling standards (dimensional, NoSQL, normalized) across the org

anization.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 f

rameworks.Ensure high levels of data quality, security, lineage, and g

overnance.Evaluate and recommend cloud-native services and tools based on evolv

ing needs.Create architecture documentation, data flow diagrams, and reference implem

entations.Drive data modernization efforts and lead legacy-to-cloud migration in

itiatives.Stay up to date with emerging trends in cloud data platforms, AI/ML workloads, and data compliance re