Data Architect

Who We Are  

At Concurrency, we embody innovation. We're not just tech consultants; we are forward thinkers with a purpose. Our team thrives on disrupting the norm, constantly seeking the next challenge and pushing boundaries to redefine what's achievable. Recognized as a Microsoft Solutions Partner, a ServiceNow Elite Partner, and recipient of multiple Partner of the Year awards, Concurrency is synonymous with excellence. If you're fueled by the desire to transform technology into real-world solutions, join us and unleash your potential as a change catalyst.  

Who We’re Looking For 

We’re looking for a full stack Data Architect to help take our Cloud, Data & AI Solutions team to the next level. Your focus will be on designing data-intensive applications in Azure that align with customer business goals and helping set internal technical direction for our Cloud, Data & AI Solutions group. The ideal candidate excels at creating modern data solutions to stubborn business problems and enjoys working across the entire data stack from requirements gathering to system design, implementation, and documentation. You thrive in early-stage environments that provide freedom to move fast and ship new features at high velocity without compromising quality standards. You’ll work with a high-performance engineering team and report directly to the Practice Manager, significantly influencing our technical direction and that of our customers. 

At Concurrency, we believe in living out our core values every day. These principles guide our actions, decisions, and interactions: 

Be Yourself: Be the best version of your whole self. Your authenticity matters.  

Be Bold: Bravely and respectfully take risks and challenge the norm. 

Have a Growth Mindset: Be open to learning and apply your expertise. 

Be the Difference: Ensure that every interaction with your colleagues, clients and community improves their lives. Pay it forward. 

Assume Positive Intent: Lead with giving the benefit of the doubt. 

What You'll Do

• Lead end-to-end technical discovery and architecture design for complex data and analytics initiatives, translating ambiguous business goals into scalable, secure data solutions  

• Architect modern data platforms on Azure, including lakehouse, streaming, and analytics architectures using services such as ADLS, Databricks, Fabric, Synapse, and related tooling  

• Define and document reference architectures, design patterns, and implementation standards that are reusable across clients and engagements