Technical Program Manager

Target in India · Bengaluru

  • Experience5–9 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelsenior
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About Target in India

Target in India is hiring in Bengaluru in ecommerce retail. This role looks for around 5+ years of experience.

Skills

  • big data concepts
  • ETL/ELT
  • data pipelines
  • data lakes/lakehouses
  • cloud data warehouses
  • distributed processing
  • GCP
  • BigQuery
  • Databricks
  • Snowflake
  • Apache Spark
  • Power BI
  • Looker
  • semantic layers
  • data modeling
  • data lineage
  • data quality
  • SQL
  • APIs
  • CI/CD
  • DataOps
  • cloud environments
  • data governance
  • data and BI migration

The role

A technical program manager at an e-commerce retail company coordinates data modernization programs across engineering and analytics teams, applying big data concepts, data pipelines, and cloud data warehouses to migrations and delivery. The role also uses data governance and CI/CD/DataOps to manage dependencies, risks, testing, production cutover, and stakeholder alignment.

Full job description

Seeking an experienced TPM to drive execution across complex data and analytics initiatives, coordinating across engineering, analytics, platform, product, and vendor teams.

Responsibilities:

Manage program plans, milestones, dependencies, risks, and delivery across multiple technical workstreams.

Coordinate execution across data engineering, BI/Analytics, architecture, platform, and product teams.

Support migrations involving data pipelines, semantic layers, datasets, APIs, and BI/reporting platforms.

Drive issue resolution, stakeholder alignment, status reporting, and action tracking.

Manage delivery through development, testing, UAT, production cutover, and hypercare.

Provide clear program status, risks, and escalations to program leadership.

Requirements:

Strong understanding of big data concepts, ETL/ELT, data pipelines, data lakes/lakehouses, cloud data warehouses, and distributed processing.

Experience with GCP/BigQuery, Databricks, Snowflake, Spark, or similar technologies.

Familiarity with Power BI, Looker, semantic layers, data modeling, lineage, and data quality.

Working knowledge of SQL, APIs, CI/CD/DataOps, cloud environments, and data governance.

Experience supporting large-scale data or BI migration/modernization programs.