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Senior Manager

Tredence

Rajamahendravaram · On-site Full-time Lead 1w ago

About the role

Location

Bangalore / Chennai / Hyderabad / Gurgaon / Pune / Kolkata

Role Overview

We are seeking a highly skilled Technical Project Manager (TPM) with strong experience in Data Engineering and Databricks platform to lead end-to-end delivery of modern data platform initiatives. The ideal candidate will bridge business and technical teams, manage large-scale data programs, and ensure successful execution of cloud-based data engineering projects.

Key Responsibilities

  • Lead and manage end-to-end data engineering projects on Databricks.
  • Drive delivery of data platform modernization, migration, and transformation initiatives.
  • Collaborate with architects and engineers to design scalable data solutions using Databricks, Spark, Delta Lake, and cloud platforms (AWS/Azure/GCP).
  • Define project scope, timelines, budgets, and resource allocation.
  • Track progress, manage risks, and ensure adherence to quality and governance standards.
  • Facilitate Agile ceremonies (Sprint planning, stand-ups, retrospectives).
  • Coordinate with stakeholders including Business, Data Science, Analytics, and Infrastructure teams.
  • Ensure implementation of data governance, security, and compliance frameworks.
  • Monitor KPIs and provide regular status reports to leadership.
  • Drive best practices in CI/CD, DevOps, and DataOps for data engineering workflows.

Technical Skills Required

  • Strong hands‑on understanding of:
    • Databricks (Workspace setup, cluster management, jobs, workflows)
    • Apache Spark (PySpark/Scala)
    • Delta Lake architecture
    • Data Lake & Lakehouse architecture
  • Experience with at least one cloud platform: AWS / Azure / GCP
  • Knowledge of:
    • Data pipelines (Batch & Streaming)
    • ETL/ELT frameworks
    • SQL & Python
    • Data warehousing concepts
  • Familiarity with:
    • Airflow / ADF / Glue / Cloud Composer
    • Git, CI/CD pipelines
    • Data governance & security tools

Project Management Skills

  • Strong experience in Agile/Scrum methodology
  • Proven track record managing large‑scale data transformation programs
  • Stakeholder management & executive reporting
  • Budgeting & vendor coordination
  • Risk management & mitigation planning
  • PMP / PRINCE2 / Scrum Master certification (preferred)

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • 14+ years overall experience with at least 5+ years in Technical Project Management.
  • Prior hands‑on experience in Data Engineering is highly preferred.

Nice to Have

  • Experience in Data Mesh or Lakehouse architecture
  • Exposure to ML/AI data pipelines
  • Experience in regulated industries (BFSI, Healthcare, etc.)

What We Offer

  • Opportunity to lead enterprise‑scale data initiatives
  • Exposure to modern cloud data stack
  • Collaborative and innovation‑driven environment

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • 14+ years overall experience with at least 5+ years in Technical Project Management.
  • Prior hands-on experience in Data Engineering is highly preferred.

Responsibilities

  • Lead and manage end-to-end data engineering projects on Databricks.
  • Drive delivery of data platform modernization, migration, and transformation initiatives.
  • Collaborate with architects and engineers to design scalable data solutions using Databricks, Spark, Delta Lake, and cloud platforms (AWS/Azure/GCP).
  • Define project scope, timelines, budgets, and resource allocation.
  • Track progress, manage risks, and ensure adherence to quality and governance standards.
  • Facilitate Agile ceremonies (Sprint planning, stand-ups, retrospectives).
  • Coordinate with stakeholders including Business, Data Science, Analytics, and Infrastructure teams.
  • Ensure implementation of data governance, security, and compliance frameworks.
  • Monitor KPIs and provide regular status reports to leadership.
  • Drive best practices in CI/CD, DevOps, and DataOps for data engineering workflows.

Skills

ADFAgileAirflowApache SparkAWSAzureCI/CDCloud ComposerData LakeData pipelinesData warehousingDatabricksDelta LakeDevOpsETLGCPGitGlueSQLSparkScrumPythonDataOpsPySparkScala

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