About the role

Full Stack Data Architect for Concurrency designing Azure data-intensive applications. Leading complex data architecture initiatives and mentoring engineering teams in a high-performance environment.

Responsibilities

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
Serve as a trusted technical advisor to client stakeholders, guiding architectural decisions, tradeoffs, and roadmaps aligned to business outcomes
Balance ideal-state architecture with real-world constraints including cost, timeline, data maturity, and team skill sets
Oversee and review solution implementations to ensure architectural integrity, performance, scalability, and security best practices
Partner with delivery teams to resolve complex technical challenges and act as an escalation point for architecture-related decisions and positive client sentiment
Integrate AI-augmented delivery practices into solution design and implementation, while exercising strong engineering judgment and governance
Mentor engineers and senior engineers through architecture reviews, design sessions, and ongoing coaching
Contribute to pre-sales activities including technical discovery workshops, solution shaping, and proposal support

Over 7 years of experience designing and delivering data solutions, with experience operating in an architecture or senior technical leadership role
Deep expertise in modern data architectures, including lakehouse, ELT/ETL orchestration, data modeling, and analytics platforms on Microsoft Azure
Proven ability to design scalable data solutions supporting structured, semi-structured, and unstructured data
Strong hands-on experience with technologies such as Azure Data Factory / Fabric Pipelines, Databricks (PySpark), SQL, and cloud-native data services
Demonstrated experience leading technical discovery, requirements gathering, and architecture design in client-facing environments
Strong understanding of data governance, security, and compliance considerations (e.g., RBAC, data classification, lineage)
Experience leveraging AI‑augmented delivery techniques to improve solution quality and productivity, with the ability to establish usage standards and lead by example through hands‑on application.
Ability to communicate complex architectural concepts clearly to both technical and non-technical audiences
Comfort operating with a high degree of autonomy while collaborating across cross-functional teams

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.