Director of Data Architecture & Engineering

Position Overview

Hometap is seeking a Director of Data Architecture & Engineering to lead our data engineering, analytics engineering, and business intelligence functions. This role is crucial for ensuring that data is leveraged as a strategic asset across the organization. You will define the strategic and tactical direction for our data architecture, oversee key cross-functional projects involving data movement, transformation, and governance, and champion data quality and consistency to establish a trusted single source of truth.

About Hometap

Hometap is on a mission to make homeownership less stressful and more accessible. Our innovative home equity investment product allows homeowners to access their built-up equity without taking on debt, enabling them to pay for important life events or home improvements. We are a collaborative, passionate team dedicated to creating solutions that enhance the homeownership experience.

We've been recognized by The Boston Globe and Forbes as a great place to work, and honored for our innovation in fintech by Inc. and HousingWire. Hometap offers competitive compensation, comprehensive healthcare coverage, unlimited PTO, a generous share package, and a strong culture that fosters team-building and camaraderie.

Responsibilities

• Provide leadership to data engineering and analytics engineering practitioners, from early-career engineers to senior managers.
• Oversee the technical strategy and architecture for the data engineering and analytics engineering teams, ensuring alignment with data science, analytics, and cross-functional stakeholder needs.
• Identify opportunities and provide guidance on the architectural design and implementation of data products.
• Offer clear leadership, coaching, and guidance to Data & Analytics Engineering managers and individual contributors.
• Lead robust processes and standards to enhance team efficiency and effectiveness.
• Operationalize a data governance program.
• Develop a scalable operations model, including a documented roadmap, goals, and objectives.
• Foster cross-functional relationships with business teams to understand and deliver on functionality and capability requirements.
• Ensure a high level of quality across all data initiatives.

Requirements

• 8+ years of experience in data engineering or data architecture.
• 4+ years of experience managing and leading a data architecture or data engineering team.
• Strong background with data movement and storage tools such as Snowflake, Fivetran, AWS, dbt, and Tableau.
• Experience with dbt or a similar data transformation framework is required.
• Experience with a machine learning operations platform (e.g., Databricks, DataRobot, Sagemaker) is a plus.
• Experience within a high-growth, proptech/fintech, or similar rapidly growing enterprise is strongly preferred.

Application Instructions

We'd love to talk if you're interested in joining our mission to make homeownership less stressful and more accessible.