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Opportunity to collaborate with a diverse group of colleagues in a fun, creative environment
Progressive career journey and opportunity for advancement
Continuous development through training, mentorship and certification programs
Exposure to modern technologies across various industries in an agile environment
Remote work
A Day in the Life:
Design and evolve enterprise data architecture across lakehouse, data warehouse, pipeline, and semantic layers, ensuring scalability, performance, and alignment with enterprise standards
Translate high-level architectural strategy into actionable technical plans, breaking work into epics, features, and sprint-ready stories for engineering teams
Lead technical design discussions, proactively identifying dependencies, risks, and tradeoffs to drive efficient and predictable delivery
Establish and enforce best practices for data modeling, pipeline design, data quality, and taxonomy across the platform
Review architecture and code for complex data solutions, ensuring consistency, maintainability, and optimal performance
Serve as a technical bridge across Data Engineering, Data Science, and Enterprise Architecture to ensure cohesive, end-to-end solutions
Mentor engineers by providing architectural guidance and elevating system-level thinking across the team
Design and build scalable data pipelines, dataflows, and semantic models using modern cloud-based data platforms (Microsoft Fabric / Azure)
Contribute hands-on to high-impact initiatives, particularly where architecture and implementation are closely intertwined
Support modernization efforts, including migration from on-prem SQL Server environments to cloud-based data platforms
Optimize data processing workflows for performance, reliability, and cost efficiency using modern engineering patterns
Partner with Data Scientists to productionize and operationalize machine learning models within enterprise data pipelines
Participate in release planning and cross-team coordination to ensure aligned delivery across multiple initiatives
Create and maintain clear, concise technical documentation covering architecture, standards, and key systems
What it takes:
Deep expertise in modern data architectures, including lakehouse, data warehousing, data pipelines, and semantic modeling
Strong experience with Microsoft Fabric and Azure data services (e.g., Synapse, Data Factory, Azure SQL, OneLake, etc.)
Advanced proficiency in data engineering tools and languages (e.g., Python, SQL, Spark, notebooks, ETL/ELT frameworks)
Demonstrated ability to define and implement architecture standards, design patterns, and best practices across data platforms
Experience translating high-level architecture into deliverable work (epics, features, user stories) within Agile environments
Strong understanding of data modeling, data governance, and data quality frameworks
Experience designing and optimizing high-performance, scalable, and cost-efficient data pipelines
Hands-on experience with cloud migration efforts, particularly transitioning from on-prem SQL Server environments to modern cloud platforms
Familiarity with ML/AI integration into data platforms, including supporting production-ready model deployment
Ability to operate as a technical leader across multiple teams, influencing without direct authority
Strong communication skills, with the ability to clearly articulate complex technical concepts to both technical and non-technical stakeholders
Experience mentoring engineers and elevating overall engineering quality and consistency
Ability to thrive in a hybrid role (architecture + hands-on delivery) within a fast-paced, evolving environment
Regardless of your specific role, we seek individuals who are excited to explore, adopt, and evangelize AI tools and methodologies. If you have experience in AI or a proven track record of rapidly learning and mentoring others on emerging tech, you’ll fit right in.
Equal Employment Opportunity Policy: Sparq is proud to offer equal employment opportunity without regard to age, color, disability, gender, gender identity, genetic information, marital status, military status, national origin, race, religion, sexual orientation, veteran status, or any other legally protected characteristic.
We are committed to providing equal employment opportunities and believe in an inclusive workplace. If you require reasonable accommodations to participate in the job application or interview process, please let us know by contacting recruiting@teamsparq.com
