Data Platform Tech Lead

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  Own the architecture and operational health of the data-orchestration layer (ingestion, transformation, movement, observability) across internal systems, go-to-market systems (CRM, CS, etc.), and the data warehouse.

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  Lead a team of data engineers/ETL analysts on day-to-day project work

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  Define with leadership and enforce data pipelines' SLAs, error-recovery strategies, schema change management, metadata/lineage documentation.

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  Lead cross-system interoperability work: identify how data flows between source systems, warehouse, downstream consumers; design abstractions; reduce redundancy and latency.

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  Partner with reporting/analytics teams to ensure data models (via e.g., dbt) align with consumption needs, but shift ownership of reporting to those teams.

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  Own and evolve tooling around data quality, observability, lineage, and cataloging; propose infrastructure improvements.

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  Evangelize “data as product/infrastructure” mindset across the organization: define APIs, data contracts, service level commitments to downstream analytics users.

• Deep engineering chops: you have hands-on experience with cloud data platforms, ingestion tools, orchestration frameworks (e.g., Airflow, Dagster), data modeling (star/snowflake, semantic layers), and you’re excited to be hands-on reviewing and contributing code.

• A systems-thinking, product-oriented senior data leader: you understand not only individual ETL pipelines, but how data moves through a complex ecosystem of systems and consumers.

• Excellent communicator: you can translate technical trade-offs (latency vs. cost, coupling vs. autonomy) into business impact; you can influence across analytics, product, operations, and leadership functions.

• Quality-obsessed: you believe that reliability, observability, and monitoring are first-class concerns in data infrastructure.

• Empowering, not controlling: you believe downstream analytics/reporting teams (e.g., business-ops, product analytics) should own their dashboards, and you’re excited about enabling them rather than owning it all yourself.

• A bias for documentation, standards, processes: you are comfortable putting structure around engineering practices and data governance, but you aren’t dogmatic—you balance speed and pragmatism.

• 5+ years of experience in data engineering / data infrastructure roles, of which 2+ years leading other engineers or analysts.

• Expert experience with orchestration tooling (e.g., Airflow, Dagster), ingestion frameworks, cloud platforms (AWS/GCP/Azure), and data-warehouse technologies (Snowflake, BigQuery, Redshift, etc).

• Expert experience with data modeling, semantic layers (dbt or equivalent), metadata/lineage tooling, data quality frameworks.

• Strong knowledge of API design, data contracts, system interoperability, micro-services or event-driven data architectures is a plus.

• Proven track record designing and implementing data pipelines/infrastructure across multiple source systems into a data warehouse/lakehouse environment.

• Prior experience partnering with analytics/business teams (even if not owning dashboards) — able to translate needs into infrastructure requirements and deliver.

• Excellent verbal and written communication skills; ability to present to senior leadership and cross-functional audiences.

• Experience building or improving observability, monitoring, alerting for data pipelines.

• Bachelor’s degree in computer science, engineering, mathematics or equivalent (or equivalent real-world experience). Master’s or additional certifications are a plus.

• You will own the foundation that enables data-driven decision making across the company — becoming the linchpin between operational systems, the data warehouse, and business insights.

• You will have the autonomy to build a modern, reliable data-infrastructure team and define the future state of how data flows across systems.

• You’ll partner with senior leadership, product, analytics, operations and enable scale — shaping how our organization uses and trusts its data.

• You’ll play a key role in the transition of the data team from “reporting responsibility” to “infrastructure responsibility”, freeing the business to own analytics while the platform team frees up the bottlenecks.

• You’ll join at a moment of transformation — the choice of tooling, the shaping of staffing model, the standardizing of data practices — and your work will have visible impact.

To ensure smooth collaboration with the Boston-based team, we are limiting to Eastern/Central timezones with the expectation that it will be Boston hours. Additionally, they must be within 1 hour of a medium hub/ large airport with multiple daily flights to Boston. We are targeting the broader New England area to start as we expect that the candidate to have frequent travel to Boston for onboarding and ongoing collaboration.

If you are a highly driven individual with a passion for technology, and you thrive in a dynamic and fast-paced environment, we want to hear from you! Join us in revolutionizing the workforce solution industry and making a meaningful impact on businesses worldwide. Apply now to be a part of our growing team!

We are committed to creating a diverse and inclusive workplace where all employees feel valued, respected, and empowered to contribute their unique perspectives and talents. Clasp is an equal opportunity employer and prohibits discrimination and harassment of any kind. We embrace diversity and are dedicated to providing equal employment opportunities to all individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.