Data Engineering Team Lead
Posted 17 days ago · 0 applicants
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The role in plain words
This role involves leading the strategy, architecture, and delivery of Flare's production data layer while spending about 80% of the time hands-on coding and conducting design reviews. You will manage, hire, and mentor a team of data engineers to scale real-time and batch data infrastructure supporting AI and product features. Additionally, you will establish data governance standards and collaborate cross-functionally with backend, AI/ML, and product teams.
- 7+ years of professional experience in data engineering
- 2+ years leading or managing engineers
- Advanced proficiency in SQL
- Advanced proficiency in Python
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or equivalent experience
- Experience transitioning from monolithic data platforms to Data Mesh or decentralized data ownership models
- Background in implementing data governance frameworks or compliance (e.g., GDPR, CCPA)
- Prior success leading teams that built platforms supporting AI/ML workloads end-to-end
- Familiarity with infrastructure-as-code (e.g., Terraform)
- Familiarity with cloud-native data services (AWS, GCP, or Azure)
Extracted from the job description · kept up to date automatically
Who this suits
This role suits an experienced data engineering leader with over 7 years in the field and at least 2 years managing engineers who wants to remain hands-on with SQL, Python, and streaming or batch platforms. It is less ideal for candidates looking for a purely managerial position with no active coding responsibilities or those lacking production data platform experience.
Full job description
Original listing · kept for referenceDescription
About Us
Hello, we’re Flare! We are reimagining how attorneys and clients work together. We are obsessed with building solutions that empower attorneys and consumers through the legal journey. Funded by leading VC firms, we are an industry leader in legal technology. Our platform simplifies the delivery of complex legal services while providing ease and clarity to clients and attorneys throughout the process. With a global team that brings a fresh perspective, Flare is revolutionizing the way legal services are delivered. We’re a team of creative problem-solvers who want to make the world a better place. Join us.
Overview
At Flare, reliable and scalable data infrastructure isn’t just a technical goal - it’s central to our ability to power AI-driven innovation and enrich our product offerings. As Data Engineering Team Lead, you’ll combine hands-on technical expertise with people-first leadership. You’ll own the strategy, architecture, and delivery of our production data layer and guide a growing team of data engineers to build the foundations that enable data-powered product development across the company.
What You’ll Do
• Set Vision & Roadmap: Define the data engineering strategy in partnership with product, AI, and platform leads.
• Stay Hands-On: Lead critical design reviews and own complex components (~80% coding), troubleshooting as needed.
• Lead & Grow Team: Manage, hire, and mentor a high-performing team, driving career growth and accountability.
• Own the Data Platform: Build and scale real-time and batch infrastructure with strong SLAs and compliance.
• Ensure Quality: Establish standards for modeling, observability, orchestration, and governance.
• Collaborate Cross-Functionally: Partner with backend, platform, AI/ML, and product teams to deliver data-powered features.
• Champion Excellence: Promote data best practices and foster a culture of ownership and improvement.
Requirements
• 7+ years of professional experience in data engineering, with 2+ years leading or managing engineers.
• Proven track record of building and operating production-grade data platforms (streaming and batch) using technologies such as Kafka, ClickHouse, Flink, Airflow, dbt, Snowflake, PostgreSQL,or equivalents.
• Advanced proficiency in SQL and Python.
• Demonstrated ability to set technical direction, prioritize roadmaps, and deliver results through others.
• Strong understanding of data architecture, reliability, scalability, and best practices for AI/ML pipelines.
• Excellent communication and collaboration skills; comfortable influencing senior stakeholders and working cross-functionally.
• Bachelor’s or Master’s degree in Computer Science, Information Systems, or equivalent experience.
Bonus Points
• Experience transitioning from monolithic data platforms to Data Mesh or decentralized data ownership models.
• Background in implementing data governance frameworks or compliance (e.g., GDPR, CCPA).
• Prior success leading teams that built platforms supporting AI/ML workloads end-to-end.
• Familiarity with infrastructure-as-code (e.g., Terraform) and cloud-native data services (AWS, GCP, or Azure).
Flare provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- 7+ years of professional experience in data engineering, 2+ years leading or managing engineers, Advanced proficiency in SQL, Advanced proficiency in Python, Bachelor’s or Master’s degree in Computer Science, Information Systems, or equivalent experience