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Statara Solutions

Director Data Solutions & Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

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 Snowflake 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.

Responsibilities

  • Serve as head of the Data Products & Engineering department, setting vision, priorities, and technical direction.
  • Lead, manage, and develop team members, including coaching, mentorship, performance oversight, and capacity planning.
  • Own the operational health of the data infrastructure, including pipeline reliability, platform stability, data quality, documentation, and data-product performance.
  • Drive the evolution of 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 platform investments.
  • Provide recommendations to company leadership on platform investments, staffing needs, delivery risks, technical priorities, and opportunities to expand or productize capabilities.
  • 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 the company'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, translating adtech and data concepts into business language, recommendations, and 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, and demonstrations where they strengthen solution confidence.
  • Establish practical standards for data governance, security, documentation, observability, and quality appropriate to the company'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 to maintain momentum and clarity.
  • Bridge commercial intent and technical execution across teams, ensuring proposed solutions are technically credible and commercially useful.

Desired Qualifications

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

About the Company

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