Data Architect - Managed Services

Role overview Support and improve clients’ Azure data platforms and Power BI environments as part of a managed-services team. The work combines incident response and escalations with architecture advice, platform maintenance, data solution delivery, and ongoing client communication.

Responsibilities - Investigate and resolve platform incidents and escalations, keeping clients informed through tickets, email, and calls and raising issues when needed. - Advise on Azure data and analytics solutions using services such as Data Factory, Synapse, Databricks, Azure ML, data lakes, warehouses, and Power BI. - Design and deploy data pipelines, models, and AI-enabled solutions; improve existing platforms, code, and reporting performance. - Guide Power BI governance, strategy, report development, and performance, and explain licensing choices and constraints. - Document client environments, estimate work, maintain deliverable quality, and promote sound practices across client and internal teams. - Mentor junior colleagues, provide feedback, and build productive working relationships with client teams.

Requirements - A degree in computer science, mathematics, or a related field, or equivalent experience and certification. - At least three years working with data or business intelligence solutions, preferably using Microsoft tools such as Data Factory, Synapse, Databricks, SQL data warehousing, or Power BI. - Experience in a support role and familiarity with standard support processes such as ITIL. - Strong written and verbal communication, problem-solving ability, and client relationship skills. - Ability to prioritize work, recognize when escalation is needed, and adapt in a changing environment. - Interest in continuous learning and keeping data and analytics skills current.

Nice to have - Databricks Lakehouse architecture, Delta Lake, medallion patterns, ingestion frameworks, semantic layers, and orchestration experience. - Advanced SQL or Spark SQL performance skills and experience with large codebases or high-volume data ingestion. - Healthcare data familiarity, including electronic health records, claims, scheduling, or related systems.

Benefits and work setup Remote work with a team of data and analytics professionals. Benefits include a 401(k) match, paid time off and holidays, medical plan options, optional dental and vision coverage, employer-paid life and disability insurance, parental leave, flexible spending accounts, a home-office allowance, and potential bonus eligibility. Work visa sponsorship is unavailable.