Senior Azure Data Architect

About Us

HMH is a leading provider of drilling solutions, offering a wide range of products and services designed to be the safest and most efficient in the industry. We specialize in land and offshore operations, and are expanding into subsea mining, geothermal, onshore and offshore construction, and offshore wind industries. With offices in 16 countries across five continents, HMH has a strong global presence and is a frontrunner in developing automation and digital solutions to improve efficiency and environmental footprint.

We value our employees and offer competitive pay, benefits, and a casual, inclusive work environment that fosters respect and collaboration.

• Design, lead, and implement enterprise-grade data solutions within Azure/Microsoft Fabric, including medallion architecture.
• Lead end-to-end data architecture across ingestion, storage, transformation, modeling, semantic layer development, and reporting.
• Build and optimize data pipelines for structured, semi-structured, API-based, and enterprise application data sources.
• Develop governed semantic models, reusable datasets, and reporting solutions that support enterprise-wide business intelligence adoption.
• Define and implement data governance, data quality, security, compliance, and auditability standards.
• Drive performance tuning, reliability, and cost optimization initiatives across cloud data infrastructure and compute environments.
• Partner with business stakeholders, product owners, and technical teams to gather requirements, translate them into scalable architecture, and support user acceptance testing.
• Lead CI/CD and deployment practices for pipelines, database objects, and analytics assets across development, test, and production environments.
• Mentor data engineers and establish best practices for architecture, engineering, documentation, and operational support.
• Evaluate and implement AI-enabled data capabilities and data agents that generate business value.

• Bachelor's degree from an accredited university or college in Technology, Computer Science, Engineering or a related field (or a high school diploma / GED with at least 9 years of relevant experience).
• 5+ years of experience in data engineering, data warehousing, analytics, or data architecture roles.
• Strong hands‑on experience with Azure data services (Azure Data Factory, Synapse, Databricks, Azure SQL, Cosmos DB, etc.).
• Proven experience designing enterprise data models, ETL/ELT frameworks, and scalable cloud analytics solutions.
• Experience integrating enterprise source systems such as SAP, HR platforms, service platforms, or custom applications into cloud data environments.
• Strong knowledge of data governance, security, compliance, and audit logging practices.
• Experience with CI/CD, release management, and deployment automation for data and analytics platforms.
• Ability to lead technical discussions with both business and engineering stakeholders.
• Strong problem‑solving, architecture design, and mentoring skills.

• 10+ years of experience in data engineering, data warehousing, analytics, or data architecture roles.
• Experience with Microsoft Fabric, Lakehouse architecture, semantic models, and modern analytics platform design.
• Exposure to AI and GenAI solutions such as agentic workflows, RAG, MCP servers, or LLM‑integrated analytics experiences.
• Experience with Power Apps, Power Automate, or broader Power Platform capabilities.
• Familiarity with Agile delivery models and cross‑functional enterprise programs.

Houston, TX