Chief Enterprise Analytics Architect

8 hours ago

Kurnool, Andhra Pradesh, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Key Role:

The successful candidate will be responsible for leading the design and delivery of enterprise data and analytics solutions.

This position requires a seasoned professional with experience in solution architecture, data architecture, and platform engineering roles. The ideal candidate will have a strong track record of delivering end-to-end data and analytics solutions in large-scale, complex environments.

Responsibilities:

  • Collaborate 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 (SAP and non-SAP), 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.

Requirements & Qualifications:

  • 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 Skills:

  • Solution Architecture & Data Platforms:
    • Designing data platforms and architecture (conceptual, logical, physical)
    • Cloud-native and hybrid data solutions (Databricks Lakehouse, AWS)
    • 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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