Director, Analytics Engineering ($270k-$330k + Equity) at Current

Jack & Jill; New York (NY); On-site; USD 270,000 - 330,000; Full time

Job summary

Current in New York is seeking a Director of Analytics Engineering to architect and lead the data transformation layer, defining the BigQuery data warehouse vision and steering a high-performing analytics engineering team to translate business needs into scalable data models powering fintech insights.

You will own the analytics roadmap, mentor offshore members, and collaborate with Finance, Product, and Compliance to ensure data integrity and actionable insights across the org.

Qualifications

• 10+ years in data architecture or analytics engineering.
• 5+ years leading high-velocity teams within enterprise-grade data warehouses.
• Expert-level SQL and Kimball/Star Schema experience with modern tooling (dbt, BigQuery, Airflow, Looker).

Responsibilities

• Define and own the Analytics Engineering and BI roadmap for data warehousing, modeling, and reporting.
• Architect robust dimensional models and data marts in BigQuery using dbt and Airflow, ensuring data integrity for Looker-based analytics.
• Scale and mentor a diverse team of analytics engineers, establishing career ladders and promoting technical excellence.

Skills

SQL

Star Schema

dbt

BigQuery

Airflow

LookML

Python

Leadership

Data Modeling

Stakeholder Communication

Tools

dbt

BigQuery

Airflow

Looker

Job description

Job Title

Director, Analytics Engineering

Salary

$270k-$330k + Equity

Company Description

Current is a $1.5B valuation Series E consumer fintech platform in NYC building a proprietary core banking system to improve financial outcomes for over 6 million members.

Job Description

As Director of Analytics Engineering at Current, you will be the strategic architect and hands-on leader of our data transformation layer. You will define the vision for our BigQuery data warehouse, lead a high-performing team of analytics engineers, and partner with stakeholders to translate business needs into scalable data models that power critical fintech insights.

Location

New York, USA

Why this role is remarkable

• Lead the data strategy for a high-growth fintech serving 6 million members, directly impacting the financial lives of everyday Americans through a proprietary core banking platform.
• Join a Series E company valued at $1.5B, offering the stability of a market leader alongside the rapid innovation of a result-driven startup environment.
• Enjoy a unique "player-coach" leadership style where you define long-term organizational design while staying technically sharp through complex SQL and dbt model reviews.

What You Will Do

• Drive the Analytics Engineering and BI roadmap, owning the P&L for data warehousing, modeling, and business intelligence tools across the entire organization.
• Architect robust dimensional models and data marts in BigQuery using dbt and Airflow, ensuring absolute data integrity for downstream Looker analytics and executive reporting.
• Scale and mentor a world-class team of analytics engineers, including distributed offshore members, while defining technical career ladders and fostering a culture of technical excellence.

The ideal candidate

• Brings 10+ years of experience in data architecture or analytics engineering, including 5+ years leading high-velocity teams within enterprise-grade data warehouse environments.
• Possesses expert-level mastery of SQL, Kimball/Star Schema methodologies, and modern tooling including dbt, BigQuery, Airflow, and Looker (LookML).
• Demonstrates intermediate to advanced Python skills and deep experience translating complex technical data requirements for non-technical stakeholders in Finance, Credit, and Product teams.