We are looking for a highly skilled and motivated Associate Director/ Director Data Engineering & Solution Architecture to support the strategic delivery of modern data platforms and enterprise analytics solutions. This is a hands-on leadership role that bridges technology and business, helping design, develop, and operationalize scalable cloud-based data ecosystems.

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.

What We Offer :

- Opportunity to work on cutting-edge data transformation projects for global enterprises

- Mentorship from senior leaders and a clear path to Director-level roles

- Flexible work environment and a culture that values innovation, ownership, and growth

- Competitive compensation and professional development support