Senior Data Platform Consultant delivering data solutions and leading projects at Snap. Engaging with clients to design and implement data analytics solutions that drive business outcomes.
Responsibilities
Leading the delivery of data solutions, including data warehouse builds, migrations, and platform modernisation
Managing delivery across projects or workstreams, ensuring high‑quality outcomes for clients
Building strong relationships with client stakeholders and aligning technical solutions with business goals
Anticipating delivery risks, introducing mitigations, and balancing the needs of clients, teams, and timelines
Coaching and mentoring consultants, providing feedback and supporting development through hands‑on guidance
Contributing to internal initiatives and helping shape delivery best practices across the team
In your first 3–6 months, success might look like:
Leading the delivery of a data warehouse migration or greenfield build
Owning delivery outcomes on one or more client engagements
Receiving strong client feedback on your leadership, communication, and technical judgement
Supporting the development of junior consultants or emerging team leads
Requirements
Significant professional experience in cloud data engineering for analytics
Strong experience in cloud data warehousing (ideally Snowflake or Databricks), SQL, and cloud ETL tools such as dbt, Matillion, Fivetran, etc.
Experience designing, building and implementing dimensional data models and leading technical delivery
Strong communication skills and confidence working directly with client stakeholders
A commercial mindset and ability to align data work with business goals.
Experience leading large‑scale or multi‑team delivery engagements
Confidence influencing client strategy and facilitating workshops or roadmap discussions
Experience mentoring senior consultants or team leads
Involvement in shaping delivery frameworks, internal capabilities, or go‑to‑market initiatives
Comfort operating at a strategic level across multiple clients or programmes of work
This role might not be the right fit if you’re looking for:
A purely hands‑on technical role without leadership or client‑facing responsibilities
A role focused on data science or theoretical analytics
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