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

Deloitte & Touche GmbH Wirtschaftsprüfungsgesellschaft; Mumbai; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Deloitte & Touche GmbH Wirtschaftsprüfungsgesellschaft in Mumbai seeks an Associate Director - Data Architect to lead the enterprise data architecture strategy and modernization initiatives. The role focuses on scalable data platforms, governance, and collaboration with analytics, security, and product teams.

Ideal candidates will have 9–12 years IT experience with strong cloud and data platform expertise, and proven leadership in large-scale data programs.

Qualifications

• 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.
• 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.

Responsibilities

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

Job description

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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.


• 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.