Lead Data Platform Architect

Enterprise Data Architect – Job Description

Location : Bangalore (Hybrid)

Experience : 15+ years in Data Engineering & Data Platforms

Employment Type : Full-time

About Aptus Data Labs

Aptus Data Labs is a global Data Engineering and AI solutions partner helping enterprises build modern, scalable, and intelligence-driven organizations. With deep expertise across cloud platforms, advanced analytics, AI / ML, and enterprise data transformation, we empower businesses to unlock the full value of their data. Our focus on innovation, domain excellence, and engineering quality enables us to deliver high-impact platforms—ranging from enterprise data lakes to AI-driven automation and industry-specific solutions. Trusted by leading companies across the US, India, Africa, and Europe, Aptus Data Labs is committed to shaping future-ready digital ecosystems that drive growth, efficiency, and strategic advantage.

About the Role

We are seeking a highly accomplished Enterprise Data Architect with deep expertise in designing modern data platforms, integrating complex enterprise datasets, and driving large-scale digital and AI initiatives. The ideal candidate brings 15+ years of strong experience in data engineering, data platforms, data governance, data integration, and data operations , with 5+ years of hands-on Databricks Lakehouse implementation on AWS and strong Reltio MDM experience.

This role is instrumental in shaping the enterprise data foundation, leading multi-domain integrations, and enabling AI-ready architectures across global teams in the US, India, and Ireland.

Key Responsibilities

• Lead the enterprise data architecture strategy, focusing on scalability, modernization, interoperability, and business alignment.
• Architect and operationalize Databricks Lakehouse solutions on AWS, including ingestion, transformation, orchestration, governance, and consumption layers.
• Design and implement Medallion architecture (Bronze–Silver–Gold) with 100+ source integrations using Boomi Integrator and Databricks pipelines.
• Drive enterprise Master Data Management (MDM) using Reltio, including entity modeling, data quality, match-merge rules, survivorship, workflows, and golden record stewardship.
• Establish frameworks for metadata management, data quality, lineage, cataloging, and governance, leveraging Unity Catalog and AWS-native security.
• Enable AI and analytics teams by building AI-ready datasets, feature stores, and GenAI-supporting data pipelines.
• Provide leadership, mentorship, and architectural oversight for data engineering, governance, and platform teams.
• Implement enterprise standards for data security, IAM, compliance (GDPR / HIPAA), observability, and cloud cost optimization.
• Collaborate with global business stakeholders across the US, India, and Ireland to drive data modernization, cloud migration, and aligned domain strategies.

Required Skills & Experience

Education

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field.