Manager | Data Architect | Bengaluru | Engineering | Data Modernization & Migration

The Team

Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.

Your work profile

• Define and implement enterprise data architecture strategies aligned with business goals and technology roadmaps
• Design scalable, secure, and high-performance data platforms leveraging cloud technologies and modern architectural principles
• Lead the architecture and implementation of Data Warehouses, Data Lakes, Lakehouse platforms, and Data Mesh solutions
• Develop conceptual, logical, and physical data models to support enterprise data requirements
• Define data integration, transformation, migration, and interoperability strategies across diverse enterprise systems
• Establish and implement data governance, metadata management, data quality, and Master Data Management (MDM) frameworks
• Design and oversee real-time and batch data processing architectures to support business and analytical requirements
• Collaborate with business stakeholders, enterprise architects, data engineers, technology leaders, and senior management to drive data initiatives
• Assess, review, and optimize existing data platforms for performance, scalability, reliability, and cost efficiency
• Define and enforce data security, privacy, compliance, and access control standards in accordance with organizational policies and applicable regulations
• Provide technical leadership, mentorship, and architectural guidance to data engineering and development teams
• Conduct architecture reviews, establish design standards, and ensure adherence to enterprise architecture principles and industry best practices
• Evaluate emerging data technologies and recommend solutions that improve the organization's data capabilities

Key skills required:

• 10–14 years of overall experience in data engineering, data architecture, or related technology roles, with substantial experience in architecture and design.
• Strong expertise in enterprise data architecture and modern data platform design.
• Experience with Data Warehousing, Data Lakes, Lakehouse, and Data Mesh architectures.
• Strong understanding of conceptual, logical, and physical data modeling.
• Hands-on experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Expertise in ETL/ELT, data integration, transformation, and migration strategies.
• Strong knowledge of data governance, metadata management, data quality, and MDM.
• Experience designing batch and real-time data processing architectures.
• Understanding of enterprise data security, privacy, regulatory compliance, and access controls.
• Experience with data platform performance optimization, scalability, reliability, and cost management.
• Strong communication, stakeholder management, problem-solving, and technical leadership skills

Nice-to-have

• Experience with modern data platforms such as Snowflake, Databricks, Google BigQuery, Amazon Redshift, or Azure Synapse Analytics
• Familiarity with Apache Spark, Kafka, and cloud-native data integration services
• Knowledge of data cataloging, data lineage, and governance tools
• Experience leading enterprise data modernization or cloud migration initiatives
• Relevant cloud architecture or data platform certifications are an advantage