Manager, Data Analytics Engineering

November 12

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dv01

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Finance • Fintech • SaaS

dv01 is a data management and analytics platform that serves as a crucial link between lenders and capital markets. It specializes in providing standardized loan-level data and integrated analytics tools to facilitate easier access and analysis of structured finance products. The platform supports various asset classes, including consumer unsecured loans, mortgages, auto loans, and student loans, and offers insights through features like ESG Data Enrichment and Portfolio Surveillance. dv01's offerings help transform raw, error-laden data into trustworthy, actionable insights, aiding investment banks, hedge funds, asset managers, and institutional investors in making smarter, data-driven financial decisions. The company addresses outdated technologies in the structured products market, offering a modern, cloud-based solution to enhance data integrity and optimize financial strategies.

51 - 200 employees

Founded 2014

💸 Finance

💳 Fintech

☁️ SaaS

📋 Description

• Directly manage a team of 5-8 Data and Analytics Engineers. • Provide people management to mentor, train, and promote professional growth of the team (hold regular 1:1s, provide context on priorities, sponsor learning initiatives). • Grow the team by closing skill gaps and hiring where needed. • Partner with analysts, sales, and project managers to onboard new clients so that they can quickly scale up their data sharing with dv01. • Manage, prioritize, and execute on migrating dv01’s pipelines from Spark and Scala to dbt and BigQuery. • Collaborate with Project Management to run sprint rituals and ceremonies (sprint planning, retros). • Review and contribute to technical planning (roadmaps, RFCs, and tech specs) • Communicate technical decisions to stakeholders across business and engineering teams. • Work with engineering management peers to continuously improve the Engineering Organization (e.g., processes, culture).

🎯 Requirements

• An experienced data engineering leader. You have 2+ years experience managing a team of data or analytics engineers and 7+ years overall data engineering experience, with a strong background in software development fundamentals. • Comfortable with agile project management – leading sprint planning and execution. • Able to deal with ambiguity and changing priorities due to business needs and situational conditions. • Experienced with mentoring and coaching engineers. • Technically credible – this role does not involve writing large amounts of production code, but will require previous experience as an individual contributor to advocate for technical solutions to engineering and business teams. • A servant leader – you empower those around you and help them grow and perform to the best of their abilities rather than micromanage. • A skilled written and verbal communicator – you seek to understand others first, and be understood second, seeking feedback from others and influencing with persuasion instead of power or position. • Nice to have: Experience with Data Build Tool (dbt), writing Scala code and executing data pipelines using Apache Spark, cloud infrastructure especially Google Cloud Platform (GCP), and financial knowledge will be a big plus.

🏖️ Benefits

• Unlimited PTO. Unplug and rejuvenate, however you want—whether that’s vacationing on the beach or at home on a mental-health day. • $1,000 Learning & Development Fund. No matter where you are in your career, always invest in your future. We encourage you to attend conferences, take classes, and lead workshops. We also host hackathons, brunch & learns, and other employee-led learning opportunities. • Remote-First Environment. People thrive in a flexible and supportive environment that best invigorates them. You can work from your home, cafe, or hotel. You decide. • Health Care and Financial Planning. We offer a comprehensive medical, dental, and vision insurance package for you and your family. We also offer a 401(k) for you to contribute. • Stay active your way! Get $138/month to put toward your favorite gym or fitness membership — wherever you like to work out. Prefer to exercise at home? You can also use up to $1,650 per year through our Fitness Fund to purchase workout equipment, gear, or other wellness essentials. • New Family Bonding. Primary caregivers can take 16 weeks off 100% paid leave, while secondary caregivers can take 4 weeks. Returning to work after bringing home a new child isn’t easy, which is why we’re flexible and empathetic to the needs of new parents.