Senior Data & AI Engineer (Managed Services)

Location: Remote - US

Company

hirify.global delivers managed Microsoft data and AI services, supporting clients’ Azure, Databricks, Fabric, and Power BI environments.

What you will do

• Lead support for multiple clients’ Azure Data, Databricks, Microsoft Fabric, and Power BI environments, resolving incidents and escalations within contracted SLAs.
• Architect, implement, monitor, administer, tune, and support Microsoft data and AI tool stacks, including Azure Data Factory, Azure Synapse, Azure Databricks, Microsoft Fabric Data Engineering, and Power BI.
• Design and support data solutions that import data from multiple sources, use metadata-driven ETL, store data across medallion lakehouse stages, and serve performant star-schema models.
• Advise clients on licensing, governance, security, well-architected frameworks, and strategic technical decisions.
• Communicate technical issues and solutions in business terms, lead client meetings, maintain documentation, and identify opportunities within client engagements.
• Mentor onshore and offshore engineers, coordinate technical sessions, and promote data engineering and analytics best practices.

Requirements

• Bachelor’s degree in Computer Science, Mathematics, or a related field, or equivalent certification.
• Experience in a support role with knowledge of standard support processes such as ITIL.
• 5+ years architecting, implementing, and supporting Microsoft Azure and Fabric data and AI solutions, including Azure Data Factory, SQL Data Warehouse, Azure Synapse, Azure Databricks, Microsoft Fabric, and Power BI.
• Strong proficiency in enterprise data warehousing, semantic models, data lake architecture, and metadata-driven ETL processes.
• Experience with DevOps or DataOps, including Git-based source control and automated deployment pipelines.
• Strong verbal and written communication, client relationship, problem-solving, vendor-management, and collaboration skills.
• Ability to work in a fast-paced, rapidly changing environment and continuously develop technical skills.
• Applicants must be able to work remotely with a distributed team of data analytics professionals.

Nice to have

• Experience implementing or supporting Agentic AI, machine learning, predictive analytics, or LLM use cases on Microsoft data and AI tools.

Culture & Benefits

• Remote work with close collaboration across data analytics professionals.
• Culture of experimentation, direct feedback, accountability, continuous learning, and shared problem-solving.
• Commitment to a diverse, inclusive, and authentic workplace.
• Work visa sponsorship is not available.