Senior Data & Analytics Engineering Lead — Remote

Apidel Technologies; United States; À distance; USD 140 000 - 190 000; Plein temps

Résumé du poste

Apidel Technologies is seeking a Senior Data & Analytics Technical Lead to own the technical delivery of enterprise analytics and data solutions in a Microsoft-first and Databricks environment. The role requires turning business requirements into scalable, secure, and maintainable solutions across Power BI and Azure-based data platforms, while setting a high engineering bar through hands-on contribution.

You will lead by example in solution design, prototyping, code and architecture reviews, and

Qualifications

• 10+ years in data, analytics, or BI engineering.
• 5+ years in senior technical lead role with architecture responsibility.
• Expert-level Power BI, SQL, Python including semantic modeling and governance.
• Strong experience with Microsoft Azure and Microsoft Fabric data platforms.

Responsabilités

• Own end-to-end delivery for analytics and data solutions.
• Provide hands-on leadership in Power BI and Azure data engineering.
• Translate business requirements into practical technical solutions and manage delivery risk.
• Establish and enforce engineering standards for semantic models, reporting, data pipelines, testing, deployment, monitoring, documentation, and support readiness.
• Ensure solutions meet security, access control, data governance, quality, and compliance expectations.
• Guide and challenge delivery teams and suppliers to remediate technical debt and achieve reliable delivery outcomes.

Connaissances

Data analytics

PowerBI

SQL

Python

Leadership

Governance

Azure

Formation

Bachelor's degree in Computer Science or related field

Outils

Azure Databricks

Azure Data Factory

Microsoft Fabric

Power BI

Git

Azure DevOps

CI/CD

Description du poste

Apidel Technologies is seeking a Senior Data & Analytics Technical Lead to own the technical delivery of enterprise analytics and data solutions in a Microsoft-first and Databricks environment. The role requires turning business requirements into scalable, secure, and maintainable solutions across Power BI and Azure-based data platforms, while setting a high engineering bar through hands-on contribution.

You will lead by example in solution design, prototyping, code and architecture reviews, and