Director, Data Solutions & Engineering

Statara Solutions
•Remote

About The Position

Statara is seeking a Data Solutions & Engineering leader with experience in adtech, martech, media technology, or commercially relevant customer data environments. This person will lead the Data Products & Engineering department and guide the design and evolution of client-facing data and analytics solutions. The role combines data-platform and solution architecture, commercial judgment, and organizational leadership, connecting business needs with Statara’s Data, Insights, and Activation capabilities. The department head will set technical direction, manage priorities, lead and develop team members, and ensure the reliability and continued evolution of Statara’s core data infrastructure. Snowflake is central to the environment, alongside a broader modern data ecosystem spanning ingestion, transformation, orchestration, cloud infrastructure, analytics, governance, and activation tools. The role partners with Business Development, Product, Data Science, and Engineering to shape scalable adtech and data solutions, support pre-sales technical strategy, and determine whether client needs call for custom solutions, repeatable capabilities, or scalable data products. It is a working leadership position that remains close to technology and client work, including evaluating architecture, troubleshooting complex issues, shaping solutions, and explaining technical concepts clearly to clients and internal stakeholders. The position is a 100% remote work opportunity. Candidates must be located and authorized to work in the US.

Requirements

  • Demonstrated experience in adtech, martech, media technology, customer data, or a related environment involving identity, audiences, activation, personalization, or measurement.
  • Hands-on working knowledge of Snowflake, with the ability to contribute confidently to architecture and platform decisions and understand Snowflake within a broader modern data ecosystem.
  • Working knowledge of modern data integration, transformation, orchestration, cloud, analytics, governance, and activation tools.
  • Strong client-facing communication skills, including translating technical language into clear explanations and connecting technical choices to business outcomes.
  • Team leadership and people-management experience, including coaching, priority-setting, capacity planning, accountability, and development of technical team members.
  • Familiarity with data integration, pipelines, data modeling, and solution architecture concepts.
  • Ability to translate business needs into technical requirements and executable solution plans.
  • Strong analytical and problem-solving skills, including comfort working with complex datasets.
  • Must be located and authorized to work in the US.

Nice To Haves

  • Experience with AWS, Alteryx, or comparable technologies is a plus.
  • Experience working across Sales, Product, Engineering, or analytics functions is a strong advantage.

Responsibilities

  • Lead the Data Products & Engineering department, setting its vision, priorities, and technical direction.
  • Lead, manage, and develop team members through coaching, mentorship, performance oversight, and capacity planning.
  • Own the operational health of data infrastructure, including pipeline reliability, platform stability, data quality, documentation, and data-product performance.
  • Evolve Snowflake-based architecture and the surrounding data ecosystem, making decisions across ingestion, transformation, orchestration, cloud, analytics, and activation tools.
  • Own and evolve the data-platform and data-product roadmap, balancing infrastructure reliability, client needs, commercial opportunities, technical debt, and longer-term investments.
  • Recommend platform investments, staffing needs, delivery risks, technical priorities, and opportunities to expand or productize capabilities to company leadership.
  • Lead technical shaping of client solutions from concept or test through architecture, high-level design, validation, and delivery planning.
  • Translate business objectives into data, analytics, and activation approaches aligned with Statara’s capabilities.
  • Serve as a key technical voice on complex or novel solution designs.
  • Identify opportunities to standardize and scale solutions across clients and use cases, including converting custom work into repeatable capabilities or data products.
  • Partner with Business Development to qualify and shape opportunities, clarify technical requirements, assess feasibility, and support proposals, demonstrations, and solution walkthroughs.
  • Participate in client and executive conversations as a technical resource, explaining complex adtech and data concepts in clear business language and connecting recommendations to measurable value.
  • Support development of technical demonstrations, solution walkthroughs, and related materials for key opportunities.
  • Guide data and analytical validation to confirm solution viability, scalability, and expected outcomes.
  • Review data structures, assumptions, and analytical outputs for technical soundness.
  • Support pilots, prototypes, demonstrations, and other proof points where they strengthen solution confidence.
  • Establish practical standards for data governance, security, documentation, observability, and quality appropriate to Statara’s size and client commitments.
  • Collaborate with Product, Data Science, Engineering, and Business Development to align solution designs with platform capabilities, client expectations, commercial potential, and delivery realities.
  • Surface risks, dependencies, and tradeoffs early, and bridge commercial intent with technical execution.

Benefits

  • 401(k) with generous company matching.
  • 100% remote work opportunity.
  • Medical coverage, including health, dental, vision, life, cancer coverage, and long-term disability insurance for employees and dependents; domestic partners are included.
  • 23 days of paid time off per year.
  • 10 weeks of fully paid parental leave for all genders, including adoption.
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