Associate Director | Data Architect | Mumbai | Engineering | Data Modernization & Migration

Deloitte · ✓ Verified company
📍 Mumbai, India · On-site · Full-time

About the role

Associate Director | Data Architect | Mumbai | Engineering | Data Modernization & Migration • Job requisition ID : 109861  • Location: Mumbai • Entity: Deloitte Touche Tohmatsu India LLP    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.