Enterprise Data Architect Lead

2 days ago

Nagpur, Maharashtra, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Our enterprise seeks a seasoned Solution Architect to spearhead the design and delivery of cutting-edge data and analytics solutions. You will collaborate closely with cross-functional teams to define project requirements, craft comprehensive architectures, and oversee full lifecycle implementations—ensuring that solutions are scalable, secure, and aligned to business objectives.

This role demands strong expertise in modern data platforms, cloud-native technologies, and end-to-end solution delivery in complex environments.

Key Responsibilities:

  • Work with stakeholders to gather and analyze business, data, and technical requirements for new and evolving data solutions.
  • Develop conceptual, logical, and physical solution architectures for data platforms, data products, analytics, and AI/ML projects.
  • Guide projects through the entire solution lifecycle, from requirements and design to build, testing, and deployment.
  • Integrate data from multiple sources, ensuring interoperability and seamless data flow.
  • Define solution-level security, access controls, and compliance requirements in partnership with data governance and security teams.
  • Lead efforts in performance optimization, cost management, and solution scalability.
  • Produce clear technical documentation and solution architecture diagrams to support implementation and knowledge transfer.
  • Stay up-to-date with advances in cloud, data engineering, and analytics technologies and recommend improvements.
  • Collaborate across teams—including data engineers, data scientists, DevOps, and business stakeholders—to ensure effective delivery and adoption of solutions.

Experience & Technical Proficiency:

  • Experience:
    • Minimum 7+ years in solution architecture, data architecture, or platform engineering roles.
    • Proven experience delivering end-to-end data and analytics solutions in large-scale, complex environments.
  • Technical Proficiency:
    • Solution Architecture & Data Platforms:
      • Designing data platforms and architecture (conceptual, logical, physical)
      • Cloud-native and hybrid data solutions
      • Integration of SAP and non-SAP data sources
    • Databricks Lakehouse Platform:
      • Medallion Architecture
      • Delta Lake & DLT Pipelines
      • PySpark Workbooks
      • Spark SQL & SQL Warehouse
      • Unity Catalog (data governance, lineage)
      • Genie (query performance, indexing)
      • Security & Role-Based Access Control
    • Programming:
      • Python, SQL, PySpark, Spark, Scala
    • AWS Cloud Services:
      • IAM, S3, Lambda, EMR, Redshift, Bedrock
    • Solution Delivery:
      • Familiarity with DevOps and CI/CD processes
      • Solution documentation and architecture diagramming
      • Performance tuning and cost optimization
    • Other:
      • Experience with data modeling (ER, dimensional)
      • Knowledge of data security and compliance frameworks
      • Strong communication, presentation, and stakeholder management skills

Education:

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

Preferred Qualifications:

  • Certifications in Databricks, AWS, or Solution Architecture
  • Experience with SAP ERP, S/4HANA, DataSphere, ABAP, and CDS views
  • Exposure to data mesh or data product management concepts
  • Background in manufacturing or enterprise analytics environments

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