Job Title:  Associate Director | Data Architect | Mumbai | Engineering | Data Modernization & Migration

The team

The team must do much more than keep the wheels turning; it is the engine that drives functional excellence and the enabler of innovation and long-term growth.

Key Responsibilities

• Data Architecture: Define and implement enterprise data architecture strategy aligned with business objectives.
• Data Platform: Design scalable, secure, reliable, and high-performing data platforms.
• Data Warehousing: Design and optimize enterprise data warehouses, data lakes, and modern data platforms.
• Data Modernization: Lead data modernization, migration, transformation, and platform modernization initiatives.
• Data Governance: Establish data governance, data quality, metadata management, security, and compliance standards.
• Data Integration: Define architecture for data integration, ETL/ELT, APIs, streaming, and data pipelines.
• Analytics & AI: Provide architectural guidance for reporting, analytics, AI/ML, and data science initiatives.
• Cloud Data Architecture: Drive adoption of cloud data platforms and modern data architecture patterns.
• Architecture Standards: Define data architecture principles, patterns, standards, and best practices.
• Performance & Scalability: Ensure data platforms meet performance, scalability, availability, security, and operational requirements.
• Technical Leadership: Provide architectural direction to data engineering and technology teams.
• Team Leadership: Lead, mentor, and develop data engineers, architects, and technical professionals.
• Stakeholder Management: Collaborate with business, analytics, engineering, product, security, and technology stakeholders.
• Program Leadership: Lead enterprise-scale data transformation and architecture programs.

Required Skills & Experience

• 9–12 years of overall IT experience.
• 5+ years of experience in Data Architecture.
• Strong expertise in Data Modeling, Data Warehousing, Data Lakes, and Enterprise Data Management.
• Strong experience designing cloud-based data platforms.
• Experience with AWS, Azure, GCP, or equivalent cloud platforms.
• Strong hands-on knowledge of SQL, ETL/ELT, and Data Integration.
• Experience with Big Data technologies and distributed data platforms.
• Experience with platforms such as Snowflake, Databricks, Cloudera, Redshift, Synapse, or BigQuery.
• Strong understanding of Data Governance, Master Data Management, Metadata Management, and Data Quality.
• Experience designing secure and compliant enterprise data platforms.
• Proven experience leading enterprise-scale data modernization and transformation programs.
• Strong understanding of analytics, reporting, AI/ML, and data science architectures.
• Excellent stakeholder management, communication, leadership, and presentation skills.