Unlock’s mission is to unleash the power of home equity to enrich people’s lives. We do this through a financial solution called a Home Equity Agreement or HEA, an entirely new way to access and utilize home equity. We’re not a lender, so there are no interest charges or monthly payments and homeowners with poor credit or high levels of debt can still qualify. We're beyond passionate about helping our customers build greater financial resiliency. We are mission driven, consumer centric and our products are designed for the way homeowners want to live their lives today - with flexibility and control.
The Senior Analytics Engineer is responsible for designing, building, and optimizing the analytics infrastructure. This role partners with stakeholders across the business to model clean and reliable data sources, enable self-serve insights, and drive decision-making. It bridges analytics and engineering, with full ownership of data workflows from ingestion to insight. The Senior Analytics Engineer works closely with the Head of Data on strategic initiatives and plays a key role in shaping the direction of the modern data stack as the organization scales.
What you'll do- Own the development and maintenance of dbt models in our Snowflake data warehouse
- Define and implement data modeling standards, ensuring trusted and well-documented datasets
- Collaborate cross-functionally with business, product, and ops teams to deliver insights
- Enhance ELT pipelines using Fivetran, dbt, and Git workflows
- Improve pipeline reliability and performance in partnership with data engineering
- Build dashboards and reporting tools using Looker, Sigma, or Tableau
- Define and maintain key metrics, supporting self-serve analytics across teams
- Lead data quality and governance initiatives
- Contribute to architectural decisions and mentor junior analytics team members
- 6+ years of experience in analytics engineering, BI, or data engineering.
- Strong SQL skills and deep experience with data modeling.
- Hands-on experience with dbt and the modern data stack (Snowflake, Fivetran, Looker/Tableau, Git).
- Working knowledge of Python and data engineering workflows.
- Excellent communication, stakeholder management, and relationship-building skills to effectively partner with leaders across multiple functions.
- PC skills including working knowledge of the Microsoft environment and the ability to access, manipulate, organize and relay information in a meaningful way.
- Ability to work in a high-growth, dynamic environment.
Preferred Qualifications
- Familiarity with cloud infrastructure (AWS/GCP), orchestration tools (Airflow)
- Experience in real estate, mortgage, or financial services
- Experience with Airflow for orchestrating and scheduling data pipelines, and Python-based ETL/ELT workflows for data engineering
- Opportunity to lead credit risk management in a rapidly growing fintech
- Dynamic and inclusive work environment that fosters innovation and growth
- Competitive compensation package
- Ongoing professional development and career advancement opportunities
- Flexible work arrangements and a strong emphasis on work-life balance
Target base compensation is $160,000-$165,000 annually. Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, Unlock's Total Rewards package is highly competitive, designed to support your success at work, at home, and at play – such as 401K matching, health benefits, employee stock options and paid time off.
Unlock is an equal opportunity employer. We evaluate qualified applicants without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances.
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