Director, Analytics Engineering

RESPONSIBILITIES

Define and drive the Analytics Engineering and BI strategy. Own the roadmap and P&L for data warehousing, modeling, and business intelligence across the entire organization.
Act as an engineer leading by example when necessary i.e. optimizing complex SQL, reviewing design, dbt models, data models, and troubleshooting high-priority pipeline issues.
Lead the design and implementation of robust dimensional models, data marts, and aggregation layers in BigQuery using dbt and Airflow.
Collaborate with leaders and stakeholders in different departments to translate business requirements into high-fidelity data models that power Looker and downstream analytics.
Manage and grow a world-class Analytics Engineering team including an off-shore team. Define clear career ladders, conduct performance reviews, and foster a culture of technical excellence and data curiosity.
Establish frameworks for data reconciliation, quality management, and security. Ensure the organization has absolute confidence in the accuracy and integrity of our data assets.
Own the Business Intelligence tooling and frameworks
Drive the adoption of data models, customer data platform, business intelligence tooling and reporting frameworks
Collaborate with Data Platform Engineers and Infrastructure teams to implement and evaluate modern tooling for data ingestion, transformation, and observability, while also establishing robust data governance practices.

ABOUT YOU

10+ years of experience in Analytics Engineering, Data Engineering, or Data Architecture, with at least 5+ years in a leadership or management capacity.
Proven track record of building and scaling enterprise-grade Data Warehouses from the ground up. You have completed multiple full development lifecycles.
Deep mastery of Kimball/Star Schema methodologies and how to apply them to modern, high-velocity fintech data.
Expert-level SQL and performance tuning skills. Significant experience with dbt (preferred), BigQuery (or similar MPP like Snowflake), and orchestration tools like Airflow.
Intermediate to advanced level programming skills in Python or other languages.
Extensive experience building scalable data models and reporting layers in Looker (LookML) or similar enterprise BI tools.
You are comfortable toggling between strategic planning and a terminal window. You enjoy being “on the ground” with your team to solve complex problems.
You are passionate about mentorship and have experience defining roles, hiring top talent, and managing career growth in a fast-paced environment.
Strong experience with cloud ecosystems like GCP or AWS.
Ability to explain complex technical concepts to non-technical stakeholders (e.g., Credit, Finance, and Executive teams).

NICE TO HAVE

Direct experience in the Fintech or D2C domains.
Experience managing distributed or hybrid teams.
Familiarity with data mesh or data contract methodologies.
Experience working with and managing a team in different time-zones.