Associate Director - Data Engineering

Need Immediate Joiners. This is a hands-on leadership role

For - Technical Delivery Managers, Technical Project Managers, Technical Architects, Solution Architects, Practice Manager, Practice Lead, Practice Head, Data Engineering Manager, Associate Director Delivery, who wants to take this role.

Associate Director/ Director Data Engineering & Solution Architecture

You will work closely with client stakeholders, internal delivery teams, and practice leadership to drive the architecture, implementation, and best practices across key initiatives.

Key Responsibilities

• Solution Design & Architecture

  : Collaborate on designing robust, secure, and cost-efficient data architectures using cloud-native platforms such as

  Databricks

  ,

  Snowflake

  ,

  Azure Data Services

  ,

  AWS

  , and

  Incorta

  .

• Data Engineering Leadership

  : Oversee the development of scalable ETL/ELT pipelines using

  ADF

  ,

  Airflow

  ,

  dbt

  ,

  PySpark

  , and

  SQL

  , with an emphasis on automation, error handling, and auditing.

• Data Modeling & Integration

  : Design data models (star, snowflake, canonical), resolve dimensional hierarchies, and implement efficient join strategies.

• API-based Data Sourcing

  : Work with REST APIs for data acquisition manage pagination, throttling, authentication, and schema evolution.

• Platform Delivery

  : Support end-to-end project lifecycle from requirement analysis and PoCs to development, deployment, and handover.

• CI/CD & DevOps Enablement

  : Implement and manage CI/CD workflows using

  Git

  ,

  Azure DevOps

  , and related tools to enforce quality and streamline deployments.

• Mentoring & Team Leadership

  : Mentor senior engineers and developers, conduct code reviews, and promote best practices across engagements.

• Client Engagement

  : Interact with clients to understand needs, propose solutions, resolve delivery issues, and maintain high satisfaction levels.

Required Skills & Qualifications

• 13+ years of experience in Data Engineering, BI, or Solution Architecture roles.
• Strong hands-on expertise in

  Azure

  ,

  Databricks

  ,

  Snowflake

  , and

  AWS (EMR)

  .
• Proficiency in Python, SQL, and PySpark for large-scale data transformation.
• Proven skills in developing dynamic and reusable data pipelines (metadata-driven preferred).
• Strong grasp of

  data modeling principles

  and

  modern warehouse design

  .
• Experience with API integrations, including error handling and schema versioning.
• Ability to design modular and scalable solutions aligned with business goals.
• Solid communication and stakeholder management skills.

Preferred Qualifications

• Exposure to

  data governance

  ,

  data quality frameworks

  , and

  security best practices

  .
• Certifications in

  Azure Data Engineering

  ,

  Databricks

  , or

  Snowflake

  are a plus. Experience working with

  Incorta

  and building materialized views or delta-based architectures.
• Experience working with enterprise ERP systems.
• Exposure leading data ingestion from

  Oracle Fusion ERP

  and other enterprise systems.