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 invites a seasoned Director of Analytics Engineering to architect our data transformation layer and lead a high-performing analytics team. You will own the BigQuery data warehouse vision, mentor engineers including offshore members, and partner with Finance, Product, and Sales to translate business needs into scalable data models powering fintech insights.

This player-coach role combines strategic design with hands-on coding in SQL and dbt to ensure data integrity and

Qualifications

• 10+ years in data architecture or analytics engineering.
• 5+ years leading high-velocity teams in enterprise data warehouses.
• Expert SQL, Kimball/Star Schema, dbt, BigQuery, Airflow, Looker LookML.
• Strong Python skills and ability to translate complex data requirements for non-technical stakeholders.

Responsibilities

• Drive Analytics Engineering and BI roadmap, owning data warehousing, modeling, and reporting across the organization.
• Architect robust dimensional models and data marts in BigQuery using dbt and Airflow with data integrity for Looker.
• Scale and mentor a world-class team, including offshore members, and define technical career ladders.

Skills

Data architecture

Analytics engineering

SQL

Python

Stakeholder communication

Tools

dbt

BigQuery

Airflow

Looker/LookML

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.