Senior Data Platform Architect & Engineering Leader

Tata Consultancy Services; Irvine (CA); On-site; USD 300,000 - 550,000; Full time

Job summary

Tata Consultancy Services is seeking a Consulting Partner with deep hands-on Data Engineering and Modern Data Platform expertise to lead complex enterprise data transformation programs.

This is a technical leadership role blending executive advisory with architecture, engineering oversight, and hands-on guidance across Databricks, Spark/PySpark, dbt, SQL, cloud architectures, and large-scale data migrations.

Qualifications

• 15+ years in data engineering or analytics.
• 10+ years hands-on data platform engineering.
• Experience architecting enterprise-scale data platforms.
• Hands-on with Spark/PySpark and SQL.
• Experience with cloud data platforms (Databricks/Snowflake).
• Experience with dbt.
• Experience with Airflow.
• Understanding of distributed computing and performance.
• Experience leading large-scale data modernization or migration programs.
• Experience managing distributed teams.
• Ability to engage with CIO/CDO-level stakeholders.

Responsibilities

• Lead complex enterprise data transformation programs.
• Combine executive consulting with architecture and engineering depth.
• Shape transformation strategies with client executives.
• Influence architecture and critical delivery decisions.
• Provide hands-on guidance with Databricks, Spark, dbt, and SQL.
• Review and challenge architecture decisions.
• Leadership of large-scale data modernization programs.
• Oversee data ingestion, transformation, storage, orchestration, governance.

Skills

Spark

PySpark

SQL

Data pipelines

Data architecture

Tools

Databricks

Snowflake

dbt

Apache Airflow

Job description

Tata Consultancy Services is seeking a Consulting Partner with deep hands-on Data Engineering and Modern Data Platform expertise to lead complex enterprise data transformation programs.

This is a technical leadership role blending executive advisory with architecture, engineering oversight, and hands-on guidance across Databricks, Spark/PySpark, dbt, SQL, cloud architectures, and large-scale data migrations.