At Sparq, we help companies solve the right problems—not just build more technology.
We’re a modern product engineering partner blending strategy, craftsmanship, and speed to help organizations modernize confidently in the age of AI. From data ecosystems to digital products and AI acceleration, we turn complexity into clarity and ideas into impact.
If you’re driven to build what’s next, lead with empathy, and deliver excellence without ego, you’ll feel right at home at Sparq.
C2C is not available
Must be authorized to work in the U.S. without sponsorship
Why you will enjoy Mondays again:
- Opportunity to work alongside a talented, diverse team in a collaborative and creative environment
- Ongoing investment in your growth through training, mentorship, and industry certifications
- Hands-on exposure to cutting-edge technologies across multiple industries
- Recognition programs and employee awards within an inclusive culture that celebrates great work, including our AI Innovators Program
- Remote or hybrid work options
- Competitive salary + bonus opportunities
- Robust benefits package, matching 401(k) plan, and substantial PTO
- Tuition reimbursement
A Day in the Life:
We are seeking a Principal Data Architect with deep Snowflake expertise to lead the design and evolution of a modern, cloud-native data platform. You will be responsible for architecting medallion/lakehouse patterns, enforcing data governance across sensitive and regulated datasets, and translating architectural decisions into clear commercial trade-offs for stakeholders. This is a hands-on architecture role with real influence over platform direction.
- Design and evolve scalable Snowflake-based data architectures incorporating medallion and lakehouse patterns with robust schema evolution strategies
- Architect and implement data governance and security frameworks including classification, tagging, RBAC, and dynamic data masking for PII and regulated data using Snowflake Horizon
- Lead integration design across the ingestion stack, including Fivetran, CData, dbt, Snowpark, and Salesforce as a primary source system
- Collaborate with Azure data platform teams to design storage, networking, and private connectivity patterns, with strong knowledge of Azure SQL source systems
- Actively leverage AI tools to streamline work and champion AI adoption across your team
- Build consumption and cost forecasting models; articulate architectural trade-offs and their business implications to executive stakeholders
- Define and enforce standards for data modeling, pipeline design, data quality, lineage, and observability across the platform
- Partner with data engineering, analytics, security, and compliance teams to ensure platform decisions align with regulatory requirements
- Mentor engineers and elevate system-level thinking across the team
What it takes:
- Deep, hands-on Snowflake architecture experience; SnowPro Advanced: Architect certification strongly preferred
- Proven track record designing medallion/lakehouse patterns and managing schema evolution at enterprise scale
- Strong Azure data-platform experience including storage, networking, and private connectivity, with knowledge of Azure SQL source systems
- Expert-level understanding of data governance and security: classification, tagging, RBAC, dynamic data masking, and Snowflake Horizon for sensitive and regulated PII
- Hands-on familiarity with the modern ingestion tool landscape: Fivetran, CData, dbt, Snowpark, and Salesforce as a data source
- Ability to build consumption and cost forecasts and translate technical decisions into commercial trade-offs for executive audiences
- Hands-on experience using AI tools to enhance daily work, or a strong desire to do so, including a willingness to experiment, learn, and champion AI adoption within your role
- Strong communication skills with the ability to explain complex architectural concepts to technical, business, and executive stakeholders
- Exposure to Snowflake Cortex AI, LLM-on-warehouse capabilities, semantic model design, RAG database table design, or Cortex Search is a plus.
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 [email protected]
#LI-REMOTE
Skills Required
- Deep, hands-on Snowflake architecture experience
- Proven experience designing medallion/lakehouse patterns and managing schema evolution at enterprise scale
- Strong Azure data platform experience including storage, networking, private connectivity, and Azure SQL knowledge
- Expert-level data governance and security skills: classification, tagging, RBAC, dynamic data masking, Snowflake Horizon for PII
- Hands-on familiarity with ingestion and transformation tools: Fivetran, CData, dbt, Snowpark, and Salesforce as a source
- Ability to build consumption and cost forecasts and translate technical decisions into commercial trade-offs for executives
- Hands-on experience using AI tools to enhance work or strong desire to adopt and champion AI within the team
- Strong communication skills to explain complex architecture to technical, business, and executive stakeholders
- SnowPro Advanced: Architect certification
- Exposure to Snowflake Cortex AI, LLM-on-warehouse, semantic model design, RAG table design, or Cortex Search
Sparq Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sparq and has not been reviewed or approved by Sparq.
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Leave & Time Off Breadth — PTO with floating holidays and seven U.S. holidays is part of the package, and flexibility around taking time off is highlighted positively. These elements support work–life balance for many roles.
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Retirement Support — A 401(k) program is offered and some postings reference a company match. This provides baseline long‑term savings support even though specific match details are not publicly listed.
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Inclusive Benefits Coverage — Participation in LGBTQ+ inclusion benchmarks and the presence of colleague resource groups signal attention to inclusive policies and benefits. External recognitions further reinforce a focus on equitable workplace practices.
Sparq Insights
What We Do
In the age of AI, differentiation isn’t in what you build - it’s in the problems you choose to solve and the outcomes they unlock. That’s why we help leaders cut through the noise, focus on what matters most, and solve it right the first time. By fusing problem-first thinking, deep technical craftsmanship, and fast, flawless delivery, we de-risk transformation and deliver solutions that stick, scale, and prove their worth. With a deep bench of end-to-end technologists, architects, and engineers, no challenge is too complex and no solution is half-built. At Sparq, your mission is our mission. We’re modular by design - meeting you where you are and accelerating you toward where you’re meant to be. We don’t just guide - we climb with you. Embedded alongside your teams, we chart the course, build with precision, and navigate complexity until your outcomes are achieved. Built to solve, not just to build.
