Azure Data Architect (Standard)

Key Responsibilities

• Design and architect end-to-end data engineering solutions leveraging Azure Databricks, Data Lake, Synapse, and Azure Data Factory (ADF).

• Define data architecture blueprints, data modeling standards, and data governance frameworks.

• Lead the design and optimization of ELT/ETL data pipelines for structured, semi-structured, and unstructured data sources.

• Collaborate with business, analytics, and application teams to ensure data solutions meet performance, scalability, and compliance requirements.

• Oversee data warehousing architecture, including dimensional modeling, data mart design, and performance tuning.

• Drive best practices in data quality, metadata management, lineage, and cataloging.

• Provide technical leadership to data engineers and guide the team in implementing scalable, secure, and cost-effective data solutions.

• Evaluate and integrate new tools and technologies to enhance data engineering efficiency and capabilities.

• Ensure compliance with healthcare data security and privacy standards (HIPAA, PHI/PII handling).

Required Skills & Experience

• Expertise in Azure data ecosystem — ADF, Synapse Analytics, Data Lake Storage, Azure SQL, Power BI integration.

• Proven experience in data modelling, data warehousing, and ETL/ELT pipeline development.

• Strong understanding of data security, governance, and compliance frameworks, especially in healthcare environments.

• Proficiency in Python, SQL, and PySpark.

• Experience in CI/CD for data pipelines (e.g., Azure DevOps, GitHub Actions).

• Strong communication and stakeholder management skills — ability to translate business needs into technical design.

Preferred Qualifications

• Prior experience working in Healthcare, Life Sciences, or Pharma domains.

• Familiarity with FHIR data standards, HL7, or other healthcare data formats.

• Experience with Snowflake, Redshift, or other modern cloud DWH solutions.

• Knowledge of data observability tools and real-time data streaming (Kafka, Event Hubs).

• Relevant certifications:

  • Microsoft Certified: Azure Data Engineer Associate / Azure Solutions Architect Expert

  • Databricks Certified Data Engineer Professional

Education

• Bachelor’s or master’s degree in computer science, Information Systems, Data Engineering, or related field.