Overview

We are seeking a Sr.

Responsibilities

• We are seeking a Sr. Data Visualization Engineer to own the Looker semantic layer and dashboard experience on GCP BigQuery. The role centers on LookML modeling: designing views, explores and models that give the business one governed definition of every metric.
• Candidates should know Looker architecture end to end, from Git-based LookML development and PDT/aggregate strategy to content governance and access control. They also need a strong eye for dashboard UI design, turning business requirements into clean, fast and intuitive analytical experiences.
• Design and maintain the LookML semantic layer (views, explores, models) as the single governed source of business metrics.
• Model dimensions, measures, dimension groups and derived fields with clear naming, labels, descriptions and drill paths.
• Build explores with correct join logic (relationships, fanout and symmetric aggregates) so totals stay accurate across many-to-many data.
• Use refinements, extends and a clean .lkml file structure to keep models DRY, layered and reusable across business domains.
• Develop native and SQL-based derived tables, PDTs and aggregate tables (aggregate awareness) with sound datagroup and caching strategy.
• Apply Liquid templating, templated filters and parameters for dynamic, user-driven analysis.
• Define certified metrics and curated explores that business users can trust for self-service.
• Shape the Looker project architecture: project and model boundaries, hub-and-spoke or multi-project imports, and environment promotion (dev → QA → prod).
• Run LookML development through Git: branching, pull requests, code review, LookML Validator, Content Validator and data tests in CI (for example Spectacles).
• Implement access control: model sets, permission sets, roles, user attributes, access_filter row-level security and required_access_grants for field-level security.
• Organize content governance: folder structure, shared vs personal spaces, board curation, and clean-up of stale or duplicate content.
• Optimize performance and BigQuery cost through PDT design, partition- and cluster-aware SQL, query caching and System Activity monitoring.
• Partner with data engineering to define BigQuery data requirements and shape datasets for efficient semantic modeling.
• Support integrations such as Looker API/SDK, scheduled deliveries, embedding and Looker Studio / BI connectors where needed.
• Design intuitive, fast dashboards following UI best practices: clear visual hierarchy (KPIs → trends → detail), fit-for-purpose charts, consistent layout and color, accessible design, and drill paths from summary to detail.

Qualifications

• 5+ years of experience in data visualization, BI engineering or analytics roles, with 2+ years building production LookML.
• Deep expertise in LookML semantic modeling: views, explores, joins and relationships, symmetric aggregates, derived tables/PDTs, aggregate awareness, refinements and extends.
• Strong grasp of Looker architecture: multi-project setups, environment promotion, Git workflow, caching and datagroups, and the admin and permission model.
• Hands-on with Looker security: user attributes, access filters, access grants, model and permission sets.
• Strong SQL skills and solid data warehousing fundamentals (dimensional modeling, star schemas, slowly changing dimensions, grain).
• Hands-on experience with GCP BigQuery, including partitioning, clustering and cost-aware query design.
• Proven dashboard UI/UX skills, shown through a portfolio of clean, purposeful and well-adopted dashboards.
• Strong analytical thinking, problem-solving, communication and stakeholder management skills.
• Looker LookML Developer certification, or Google Cloud Professional Data Analyst / Data Engineer.
• Exposure to dbt or other transformation tools upstream of the semantic layer.
• Familiarity with Looker's Gemini / conversational analytics features and with Looker Studio.
• Exposure to Tableau or Power BI, including migrating reports into Looker.
• Basic UX design tools (Figma or similar) for wireframes and dashboard mockups.