Data Architect

About the Role

Data Architect

Key Responsibilities

• Design and develop enterprise-grade data architectures to support

  analytics

  ,

  AI

  , and

  business intelligence

  initiatives.
• Create and maintain

  conceptual, logical, and physical data models

  aligned with organizational strategies.
• Architect and optimize

  ETL/ELT pipelines

  for efficient, reliable data movement and transformation.
• Build and manage

  data warehouses, data lakes, and lakehouse architectures

  using Azure or AWS.
• Implement robust

  data governance, lineage, and compliance frameworks

  .
• Ensure

  data security, privacy, and integrity

  across all platforms.
• Leverage

  Python

  and

  Spark

  for distributed data processing and automation.
• Collaborate with cross-functional teams to promote

  best practices in data management and architecture

  .

Required Skills & Qualifications

• Hands-on expertise in

  Azure Synapse, Databricks, AWS Redshift, or Snowflake

  .
• Strong proficiency in

  SQL, Python, and Spark

  .
• Proven experience with

  data modeling, data warehousing, and governance

  .
• Solid understanding of

  cloud-native data architecture

  and the

  modern data stack

  .
• Familiarity with

  data security and compliance

  standards (GDPR, HIPAA, etc.).
• Excellent

  analytical, communication, and leadership

  skills.