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Senior Solution Architect - Data Platform & Analytics

India, Bangalore · Job Posted February 04, 2026
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Job Description

The Senior Solution Architect - Data Platform & Analytics will be responsible for designing and implementing cloud data platforms, primarily using Azure and AWS. The role requires over 8 years of experience in cloud architecture and data governance, with a strong focus on Databricks and analytics solutions. The successful candidate will collaborate with cross-functional teams to ensure robust data ingestion and transformation capabilities.

Job Responsibility

  • Lead feature enablement and capability development efforts on Enterprise Data Platform which is based on Databricks lakehouse architecture, including performance and cost optimization
  • Define reference architectures, engineering standards, and best practices for data lakes, lakehouse patterns, and enterprise analytics
  • Partner with networking and security teams to design secure connectivity patterns (e.g., private endpoints/links, VNet/VPC integration, routing, firewalling, segmentation) and meet enterprise security standards
  • Drive architectural governance (design reviews, technology choices, ADRs) and mentor teams to improve delivery quality
  • Provide guidance to solution architects in designing and architecting scalable and robust cloud-based solutions using Azure or AWS platforms, focusing on big data and analytics
  • Provide guidance on implementation best practices for data modeling, metadata management, data lineage, and governance in cloud data environments
  • Collaborate with analytics and reporting teams to integrate solutions with Power BI or similar tools for business insights
  • Ensure solutions meet high standards of performance, scalability, security, and cost efficiency in cloud environments
  • Work closely with cross-functional teams including DevOps, product management, and business stakeholders to align on architecture decisions
  • Stay up to date with trends in cloud, data engineering, analytics, governance, and AI/ML enablement

Requirements

  • 8+ years of experience designing and implementing cloud data platforms in large enterprises
  • Strong hands-on cloud solutions and architecture experience with big data platforms such as Databricks
  • Proven experience delivering data platforms within large enterprises (complex stakeholder environment, governance, security/compliance constraints)
  • Strong hands-on architecture experience with Databricks (must-have), including Spark and Delta Lake
  • Expertise in cloud platforms: Microsoft Azure and/or AWS, with working knowledge of core services used in data platforms
  • Azure networking knowledge (should-have): experience designing/working with private networking, connectivity, and security patterns in Azure
  • AWS knowledge (should-have): understanding of AWS networking and data services and integration patterns
  • Experience with Data Lakes, ETL/ELT tools, and distributed processing (Spark)
  • Experience with reporting/semantic layer tools such as Power BI or Tableau
  • Hands-on experience with integration/orchestration tools like Azure Data Factory, AWS Glue, FiveTran, and/or Kafka
  • Knowledge of modern data governance and data management practices (catalog, lineage, data quality, MDM)
  • Strong problem-solving skills and ability to work in a fast-paced environment
  • Excellent communication and stakeholder management skills across global teams

Nice to have

  • Experience with real-time data streaming and event-driven architecture
  • Experience with tools such as Databricks, MS Fabric, Azure Data Factory, AWS Glue, Power BI, and Collibra as well as experience with Azure access management and networking

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