Practice Lead - Data

Job Title:

Location:

Experience:

About the Role:

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.

• Domain - Banking Specific

Preferred Qualifications:

• Bachelors or Masters 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.