Overview
We are looking for an experienced and strategic Senior Data Architect to lead the design, modernization, and governance of enterprise-scale data platforms and architectures. The ideal candidate will have solid expertise in data engineering, cloud data ecosystems, enterprise integration, analytics, AI/ML data readiness, and contemporary data governance practices.
The role requires close collaboration with business stakeholders, enterprise architects, AI teams, engineering teams, and leadership to build scalable, secure, and high-performing data solutions that support digital transformation and advanced analytics initiatives.
Responsibilities
• Define and implement enterprise-wide data architecture strategies, standards, and best practices.
• Design scalable data platforms, data lakes, data warehouses, and contemporary lakehouse architectures.
• Lead architecture discussions for cloud-based data ecosystems across AWS, Azure, or GCP.
• Design end-to-end data pipelines for structured, semi-structured, and unstructured data.
• Establish data governance, metadata management,
lineage, security, and compliance frameworks.
• Work closely with AI/ML teams to enable high-quality data foundations for analytics and AI solutions.
• Define enterprise data models, master data management (MDM), and data integration strategies.
• Guide teams on ETL/ELT frameworks, streaming architectures, and real-time data processing.
• Collaborate with business stakeholders to translate business requirements into scalable technical solutions.
• Lead performance optimization, scalability planning, and cost optimization initiatives for data platforms.
• Evaluate and recommend new tools, technologies, and accelerators in the data and AI ecosystem.
• Provide technical leadership and mentoring to data engineers, developers, and architects.
• Ensure compliance with enterprise security, privacy, and regulatory requirements.
• Participate in solution estimation, proposal creation, architectu
📌 Data Architect Pune (India)
🏢 Expleo
📍 India