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Job Type

Full Time

Job Description

Job Title: Data Platform Practice Lead

Location: Pune

Experience: 12+ years in Data Engineering / Data Platform Management

About the Role:

Data Platform Practice Lead


Key Responsibilities:

  • Lead and grow the Data Platform practice, including defining strategy, architecture standards, and technology roadmap.
  • Oversee the design and development of end-to-end data solutions — ingestion, storage, processing, and delivery.
  • Collaborate with business stakeholders, and analysts to translate business requirements into technical solutions.
  • Evaluate, select, and implement modern data technologies, tools, and frameworks (e.g., Databricks, Snowflake, Azure Synapse, AWS Redshift, Google BigQuery).
  • Establish governance, quality, and security standards across all data platforms.
  • Lead large-scale data modernization, migration, and cloud adoption programs.
  • Mentor and guide data engineers, architects, and analysts to build technical excellence within the practice.
  • Manage delivery of multiple data projects, ensuring alignment with business goals and timelines.


Required Skills & Experience:

  • 12+ years

    of experience in data engineering, data architecture, or related fields.
  • 5+ years

    in a leadership or practice lead role managing teams and strategic initiatives.
  • Strong expertise in

    cloud data platforms

    (Azure, AWS, or GCP).
  • Proven experience with

    data lake

    ,

    data warehouse

    , and

    ETL/ELT

    architectures.
  • Hands-on experience with tools such as

    Databricks, Snowflake, Apache Spark, Kafka, Airflow

    , etc.
  • Knowledge of

    data governance

    ,

    security

    , and

    metadata management

    frameworks.
  • Familiarity with

    DevOps

    ,

    CI/CD

    , and

    DataOps

    practices.
  • Excellent communication, stakeholder management, and leadership skills.


Preferred Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
  • Certifications in cloud platforms (e.g.,

    AWS Data Analytics Specialty

    ,

    Azure Data Engineer

    ,

    GCP Professional Data Engineer

    ).
  • Experience in implementing

    AI/ML data pipelines

    or

    real-time analytics

    solutions.


What We Offer:

  • Opportunity to lead a high-impact data transformation practice.
  • Exposure to cutting-edge cloud and data technologies.
  • Collaborative environment with a strong focus on innovation and learning.

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