Senior Data & AI Engineer - Managed Services

Role overview Lead technical support and ongoing improvement for several customers’ Microsoft data and analytics environments. The work combines incident response, platform engineering, governance, and client advice, with responsibility for coordinating delivery against service commitments and helping engineers develop their skills.

Responsibilities - Oversee support across Azure Data, Databricks, and/or Fabric and Power BI environments; investigate incidents, manage escalations, and coordinate timely resolution. - Design, implement, tune, and maintain data platform capabilities spanning services such as Data Factory, Synapse, Databricks, Fabric, SQL, and Power BI. - Advise on platform governance, monitoring, licensing, security, and well-architected practices. - Build and support data flows from ingestion through metadata-driven transformation and lakehouse storage to warehouse, reporting, and AI-ready models. - Communicate ticket progress and technical recommendations clearly to customers, including in terms of business impact, and maintain environment documentation. - Mentor and coordinate distributed engineers, lead technical discussions with clients, and promote repeatable practices across engagements.

Requirements - At least five years designing, delivering, and supporting Microsoft Azure and/or Fabric data and AI solutions. - Strong knowledge of enterprise data warehousing, semantic models, data lake architecture, and metadata-driven ETL. - Experience with support operations and standard service processes such as ITIL. - Experience using source control and automated deployment pipelines in DevOps or DataOps workflows. - Strong written and verbal communication, client relationship, troubleshooting, and team coordination skills. - Bachelor’s degree in computer science, mathematics, or a related discipline, or equivalent certification.

Nice to have - Experience with machine learning, predictive analytics, agent-based AI, or large language model workloads on Microsoft data platforms.

Benefits and work setup The role is remote and supported by a team of data and analytics professionals. The source states that work visa sponsorship is unavailable.