Senior Manager, Data Engineering (New York)

Who We AreAt Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people.We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you.We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team.Our ValuesIf this sounds like you, you’ll fit right in.DepartmentTechnology, Data & AIAbout The TeamThe Data & Analytics team is Justworks' data and AI center of excellence — a connected set of functions spanning business intelligence, data science, analytics engineering, platform data/ML engineering and AI builders. We've grown significantly over the last several years and continue to build momentum across the business, leveling up maturity in how we deliver insights, govern data, and enable the company to make better decisions. You'll find a highly collaborative & diverse group motivated by craft, shared learning, and a genuine commitment to growing our impact for customers while evolving how we work together for our people. Come build with us!The Data Platform Engineering team sits at the core of this foundation, owning the pipelines, platform infrastructure, and reliability that every other DNA function depends on.Who You AreYou're a hands-on engineering leader with deep experience building and operating modern data platforms. You've led teams through scale — evolving architecture, improving reliability, and making hard tradeoffs between speed, cost, and quality. You're as comfortable reviewing a PR or debugging a pipeline failure as you are setting quarterly roadmap priorities or presenting a platform strategy to senior leadership.You think in systems - how pipelines, orchestration, governance, and observability connect to produce a trustworthy platform - and you know how to build a team that operates with both craft and urgency. You develop engineers, set a high technical bar, and create an environment where people grow.You bring strong opinions grounded in experience with modern PaaS data stack technologies - Snowflake, Fivetran, Airflow, dbt, Estuary - and you've seen what works and what doesn't at scale. Snowflake is core to how we operate and you should have depth there.Reporting to the VP of Data & Analytics, you'll lead the data platform organization, setting technical direction, driving operational excellence, and ensuring the platform is reliable, scalable, and built to support the company's growth.Your Success ProfileWhat You Will Work OnPlatform Leadership & Technical DirectionOwn the technical direction of Justworks' core data platform — pipelines, infrastructure, orchestration, and the standards that keep it trustworthyLead architectural decisions on cloud data infrastructure, balancing scalability, cost, reliability, and securityDrive operational excellence across the platform — observability, data quality, cost optimization, incident management, and SLAsSet and enforce engineering standards — testing, documentation, CI/CD, and code review best practicesMaintain and evolve infrastructure as code, ensuring the platform is auditable, repeatable, and resilientTeam Leadership & DevelopmentLead and develop a team of data engineers, including direct line managers and individual contributors at various levelsSet a high bar for engineering craft — mentor engineers, conduct architecture reviews, and foster a culture of continuous improvementRecruit and hire high-caliber data engineers as the platform team growsCreate an environment where engineers develop their skills, take ownership, and do the best work of their careersCross-Functional Partnership & DeliveryPartner with DNA functional teams (e.g. Analytics Engineering, BI, Data Science) and distributed Data Engineering teams to ensure the platform serves the full breadth of org needsCollaborate with other engineering teams to align on data contracts, security, compliance, and shared infrastructureDrive planning processes that connect platform priorities to DNA's overall strategy and enterprise OKRsHow You Will Do Your WorkAs a Sr. Manager, Data Platform Engineering,, how results are achieved is paramount for your success and ultimately results in our success as an organization. In this role, your foundational knowledge, skills, abilities, and personal attributes are anchored in the following competencies:Plans & Aligns - Ensures individual actions support company mission; communicates effectively; understands urgency and plans accordinglyBalances Stakeholders - Understands internal and external stakeholder requirements, expectations, and needs and acts fairly despite conflicting demands of stakeholders.Influence and Leadership - fostering a community of knowledge-sharing, collaboration, mentorship, and forward-thinking across the organization.Manages Complexity - Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems.Good Judgment - Pauses before acting; asks questions to fully understand context; applies critical thinking and takes ownership of outcomesTeamwork & Communication - Honors diverse thoughts and opinions; leverages unique skills to maximize efficiencySkills and Knowledge - the capacity to actively learn and apply specific domain knowledge, know-how, and best practices to continually enhance and improve.In addition, all Justworkers focus on aligning their behaviors to our core values known as COGIS. It stands for:Camaraderie - Day to day you can be seen working together toward a higher purpose. You like to have fun. You’re an active listener, treat people respectfully, and have a strong desire to know and help others.Openness - Your default is to be open. You're willing to share information, understand other perspectives, and consider new possibilities. You’re curious, ask open questions, and are receptive to thoughts and feedback from others.Grit - You demonstrate grit by having the courage to commit and persevere. You’re committed, earnest, and dive in to get the job done well with a positive attitude.Integrity - Simply put, do what you say and say what you'll do. You’re honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example. Simplicity - Be like Einstein: “Everything should be made as simple as possible, but no simpler.”QualificationsYou're a builder who applies systems thinking to internal infrastructure. You're comfortable working across a diverse data organization and partnering with leadership to turn fragmented ways of working into scalable, durable systems.10+ years of professional experience in data engineering, with at least 5 years working hands-on with modern PaaS data stack technologies (Snowflake, Fivetran, Airflow, dbt, Estuary, or equivalent)Deep Snowflake expertise - schema design, query optimization, cost governance, data sharing, and performance tuning at scale5+ years of engineering management experience, including experience managing managers or leading a multi-team engineering organizationStrong architectural judgment - able to make sound decisions on pipeline design, infrastructure patterns, and platform evolutionExperience leading a distributed engineering team across multiple workstreams and delivery tracksDeep proficiency in SQL and Python; recognized by peers for technical rigorStrong expertise with AWS services (S3, Lambda, Fargate, Redshift, Kinesis) and infrastructure-as-code (Terraform, CloudFormation)Strong experience with data governance, security, and compliance in a production environmentExcellent communicator — able to engage technical and non-technical stakeholders, present platform strategy to senior leadership, and translate infrastructure investments into business termsComfortable navigating ambiguity and driving work forward in a fast-moving environmentPoint of view on how AI is changing data platform engineering — both in how the team works and what the platform enablesNice to haveExperience building data platforms that support ML/AI workloads (feature stores, model pipelines, vector stores)Background in a regulated or compliance-sensitive environment (fintech, HR tech, healthcare)Experience with streaming/CDC technologies (Estuary, Kafka, Debezium)Technologies UsedLanguages: Python, SQL, TerraformData & Analytics: Snowflake, dbt, FivetranStreaming & CDC: EstuaryWorkflow Orchestration: Airflow, MWAACloud: AWS (S3, Lambda, Fargate, Redshift, Kinesis, Step Functions, EventBridge)Observability & Monitoring: DatadogCI/CD: CircleCI, GitHub ActionsThe base wage range for this position based in our New York City Office is targeted at $240,000.00 - $310,000.00 per year.#LI-DG2 #LI-HybridActual compensation is based on multiple factors that are unique to each candidate, including and not limited to skill set, level of relevant experience, and specific work location. Salary ranges for positions based in other locations may differ based on the cost of labor in that location. For more information about Justworks’ Total Reward Philosophy, including all of the perks and benefits we are proud to offer our team members, please visit Total Rewards @ Justworks. Diversity At JustworksJustworks is committed to maintaining a workplace where diversity of identity, culture, and life experience is the norm and is celebrated authentically and respected consistently. Diversity in our work, our peo