Azure Data Architect (Microsoft Fabric)

Are you a Data Architect who loves rolling up your sleeves - designing systems, building prototypes, and translating C-level vision into technical reality? If you're just as comfortable in an Azure Synapse pipeline as you are mentoring a junior engineer or explaining architecture decisions to a non-technical exec, this one's for you. What You'll Be Doing You'll step into a high-visibility, hands-on architecture role with direct exposure to the C-suite. This isn't a strategy-only seat, you'll be designing systems and building prototypes yourself, while guiding a team of mid-level and junior engineers provided by an external vendor. You'll translate executive requirements and KPIs into clear technical user stories, and serve as the bridge between developers and business stakeholders. You'll also plug into the organization's growing AI initiatives - including AI proof of concepts, an expanding Microsoft Copilot rollout, and early work on agentic AI agents. What You Bring • Hands-on architecture/lead engineering experience - you can design systems and build prototypes, not just advise from the whiteboard • Strong Microsoft Azure stack experience, including Synapse and Data Factory • Experience with Microsoft Fabric • Strong Python and SQL skills (PySpark a plus) • Exceptional communication skills - you can bridge technical and non-technical audiences with ease • Experience guiding and mentoring junior/mid-level engineers Nice to Have • Databricks experience (a natural bridge if you don't yet have Fabric hands-on time) • Interest or experience in AI - especially agentic AI agents, Copilot, or similar tools MMD Services Inc. is an equal opportunity employer. All applicants are considered for all positions without regard to race, religion, color, sex, gender, sexual orientation, pregnancy, age, national origin, ancestry, physical/mental disability, medical condition, military/veteran status, genetic information, marital status, ethnicity, alienage or any other protected classification, in accordance with applicable federal, state, and local laws.