Enterprise Data Architect

As an Enterprise Data Architect at Aptus Data Labs in Bangalore, you will play a crucial role in designing modern data platforms, integrating complex enterprise datasets, and driving large-scale digital and AI initiatives. Your expertise in data engineering, data platforms, data governance, data integration, and data operations will be leveraged to shape the enterprise data foundation and enable AI-ready architectures across global teams. With a focus on scalability, modernization, and interoperability, you will lead the enterprise data architecture strategy to align with business objectives. 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 (BronzeSilverGold) 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: - 15+ years of hands-on experience in data engineering, data platforms, data integration, data governance, and data operations. - Strong hands-on experience with Reltio MDM, including configuration, hierarchy management, entity modeling, match/merge, and golden record creation. - 5+ years of solid expertise in Databricks Lakehouse (Delta Lake, PySpark, Unity Catalog, MLflow, and Databricks AI). - Proven expertise in AWS data ecosystem: S3, Glue, EMR, Lambda, Athena, Redshift, Lake Formation, IAM. - Strong experience in implementing Medallion architecture across 100+ data sources using Boomi Integrator and Databricks pipelines (batch and streaming). - Advanced proficiency in SQL, Python, PySpark, and API-driven integrations. - Deep understanding of data governance, metadata, lineage, observability, and MDM frameworks. - Experience with modern data stack tools (Snowflake, dbt, Airflow, Kafka) is an advantage. - Excellent communication skills, both verbal and written, with the ability to collaborate effectively with teams across the US, India, and Ireland. - AWS or Databricks certifications preferred. Education: - Bachelors or Masters degree in Computer Science, Information Systems, Data Engineering, or a related field. As an Enterprise Data Architect at Aptus Data Labs in Bangalore, you will play a crucial role in designing modern data platforms, integrating complex enterprise datasets, and driving large-scale digital and AI initiatives. Your expertise in data engineering, data platforms, data governance, data integration, and data operations will be leveraged to shape the enterprise data foundation and enable AI-ready architectures across global teams. With a focus on scalability, modernization, and interoperability, you will lead the enterprise data architecture strategy to align with business objectives. 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 (BronzeSilverGold) 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