Azure Data Architect

Responsibilities

• Define and maintain enterprise data architecture aligned with business strategy.

• Establish and enforce data governance, standards, and quality frameworks.

• Design scalable conceptual, logical, and physical data models.

• Select and design data platforms and database technologies (cloud, relational, NoSQL, Big Data).

• Oversee data integration, ETL/ELT pipelines, and data flows across systems.

• Ensure data quality, security, performance, and regulatory compliance.

• Collaborate with business and technical teams to gather requirements and document current and target data states.

• Apply architecture patterns for data lakes, MDM, and advanced analytics solutions.

• Provide technical leadership, guidance, and knowledge sharing across data teams.

• Evaluate and introduce new tools and technologies to improve data capabilities.

Requirements

• 6+ years of experience in Data & Analytics, including a Data Architect or similar role.

• Strong knowledge of data architecture, data modeling, and data management principles.

• Hands-on experience with relational and NoSQL databases, data warehousing, and Big Data platforms.

• Experience designing data integration solutions and ETL/ELT pipelines.

• Familiarity with cloud data platforms, particularly Azure (Synapse, ADF, Data Lake).

• Solid understanding of data governance, data quality, and security/privacy regulations (e.g. GDPR).

• Proficiency in at least one programming language: Python, PySpark, R, or Scala.

• Ability to translate business needs into technical data solutions.

• Strong communication, collaboration, and problem-solving skills.

Nice to Have

• Experience with CI/CD automation for data platforms.

• Exposure to GenAI use cases in data engineering or analytics.