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Rocket Lawyer

Online legal documents and advice platform

Head of Data

Engineering LeadershipPosted on Nov 13
Full-time

About the Job

Requirements

  • At least 12 years of experience in data engineering, data platforms, or analytics, including at least 5 years leading data teams, including leaders of teams.
  • Hands-on player-coach experience setting strategy and delivering it through completion.
  • Experience leading data engineering and analytics as one organization, including self-service capabilities for multiple functions using data for daily optimization decisions.
  • Understanding of the data needs of online businesses across growth optimization, product and user experience, marketing, and finance.
  • Hands-on experience with product analytics tools such as Amplitude that use front-end behavioral data, and with experiment design, including its impact on instrumentation and audience sampling.
  • Experience leading an end-to-end platform migration, including planning, cutover, and retirement of the replaced platform.
  • Current knowledge of modern data platforms such as Databricks or Snowflake, dbt, Spark, SQL, orchestration, and streaming on a major cloud platform, preferably Google Cloud Platform.
  • Understanding of online-business instrumentation and the governance needed to provide trusted insights across multiple self-service teams.
  • Practical experience preparing governed, well-described data for artificial intelligence and machine learning retrieval, models, and agents, and fluency using artificial intelligence in work.
  • Ability to communicate, manage priorities across teams, and identify common solutions for multiple stakeholder needs.
  • Ability to develop managers and engineers, build durable teams, and lead with humility.

Responsibilities

  • Set the multi-year data strategy and target architecture, keeping them current as the business changes.
  • Own platform and vendor decisions across warehouse, lakehouse, orchestration, transformation, quality, analytics, and activation tooling.
  • Partner with the CTO and engineering leaders on how product services emit, own, and share data.
  • Lead modern cloud data infrastructure, including data warehouse, lakehouse, and data engineering platforms.
  • Establish data engineering standards for versioned and tested transformation models, continuous integration and continuous delivery, observability, and on-call operations.
  • Set standards for front-end and product instrumentation and fix tracking issues at their source.
  • Make real-time and batch pipelines reliable, observable, and cost-efficient, and manage platform spending against a cost model.
  • Enable Finance, Growth, Marketing, Product, Customer Service, and Legal Operations teams to conduct reporting and analysis using governed data.
  • Own event, property, and metric values and definitions so functional teams can obtain consistent answers through self-service.
  • Partner with business owners to shape data requirements and incorporate them into a unified roadmap.
  • Deliver customer data that personalizes the product experience.
  • Define data ownership, classification, access, and retention in partnership with Security, Privacy, and Legal.
  • Establish common standards for data layering, access, and definitions for product teams building domain pipelines.
  • Meet obligations under United States state privacy law, UK GDPR, and Brazil's LGPD.
  • Support reporting for attorney quality oversight on the marketplace.
  • Hire, develop, and retain the data team, grow current team members, add needed skills, and determine where partners can help.
  • Build the team's fluency in artificial intelligence and its use in building, testing, and supporting data.
  • Serve as the technical data partner to company-wide artificial-intelligence enablement and represent data on the Enterprise AI Council.

Desired Qualifications

  • Experience in a private-equity-backed or similarly performance-driven software company.
  • Experience with customer data platforms, identity resolution, or graph-based customer models.
  • Experience in regulated or sensitive data domains such as legal, financial services, or healthcare.
  • Experience with marketplace or two-sided business models.

About the Company

Rocket Lawyer

Online legal documents and advice platform

Rocket Lawyer provides affordable online legal services for individuals, small businesses, and families. Its platform lets users generate a wide range of legal documents instantly and purchase legal advice from real lawyers, with optional document review. The service can be accessed via a Premium subscription that unlocks a library of documents, lawyer consultations, and attorney reviews, or through pay-per-use options for specific tasks. What sets it apart is the combination of a large online document library, access to licensed lawyers, and flexible pricing (subscription plus per-service payments), all delivered entirely online. The company aims to simplify the legal process, saving time and money for people who cannot afford traditional law firms while providing quick, accessible help for tasks like contracts, estate planning, property deals, and family-law matters.

Company size
201-500
Company stage
Growth Equity (Venture Capital)
Total funding
$298.5M
Headquarters
San Francisco, CA
Founded
2006

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