Manager, Data Engineering at Sprout Social

, , United States -

Full Time

Start Date

Immediate

Expiry Date

30 Jan, 26

Salary

306636.0

Posted On

01 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, DataOps, Cloud Data Warehouses, Dimensional Modeling, Data Vault Principles, Automated Testing, Monitoring, Data Governance, API Integration, Cross-Functional Collaboration, Team Leadership, Performance Management, Career Development, Incident Response, Data Certification Workflows, Business Outcomes

Industry

Software Development

Description

Description Sprout Social is looking to hire an Engineering Manager for the Data team to lead the technical strategy and execution of our data platform. You'll define the architecture roadmap, establish DataOps practices, build the team's capability to deliver iteratively, and create the conditions for broader data ownership across the organization. This is a hands-on leadership role for someone who can balance foundations with forward momentum. Why join Sprout’s Data team? At Sprout, we've only scratched the surface of what's possible with our data. This is a unique opportunity to shape a data function at an inflection point. You'll join a growing team that's been building governance foundations to power AI capabilities, now ready to scale both in size and technical sophistication. You'll have meaningful influence on technical direction and how data serves the business. We value pragmatism over perfection, iterative progress over grand transformations, and collaboration over hierarchy. If you want autonomy to build something that matters, the space to experiment and innovate, and the chance to grow engineers while growing yourself—this is the role. What you’ll do Lead iterative delivery of data products using vertical thin-slicing—shipping usable improvements in weeks, not quarters Build pipelines and models using dimensional or Data Vault methodologies to make data more trusted and consumable Build automated data certification workflows that flow into our catalog, enabling self-service discovery Partner with Product, Finance, Operations, and Sales to translate business questions into scalable technical solutions Grow and mentor a team of data and analytics engineers focused on execution and impact Implement DataOps practices—CI/CD, automated testing, monitoring—that make data reliable by default Present progress and technical decisions to leadership in terms of business outcomes, not just infrastructure What you’ll bring You're a builder and executor who's worked in SaaS or B2B environments where strong foundations and standards are critical to data adoption. You've moved data from API sources into warehouses, applied formal modeling principles, and made those models discoverable and actionable. You think in products, not just pipelines. You lead with context, empower your team with clarity, and deliver results that move the business forward. The minimum qualifications for this role include: 10+ years of professional experience in data engineering 4+ years of experience formally managing engineering teams, including direct responsibility for hiring, performance management, and career development cycles Led the planning and execution of a major data architecture refactoring or modernization project within an existing production environment. Built production pipelines using cloud data warehouses (Snowflake, BigQuery, Redshift), dbt, and orchestration tools (Airflow) Applied dimensional modeling or Data Vault principles to design subject areas consumed by BI and AI tools Implemented data governance tooling including cataloging, lineage tracking, and automated quality checks Preferred qualifications for this role include: Built data models supporting SaaS metrics: ARR, retention cohorts, product adoption funnels, customer health scores, sales pipeline Experience integrating API-based sources (REST, GraphQL) with change data capture and incremental load patterns Deployed automated data certification workflows that validate models before publishing to catalogs (DataHub, Secoda, Select Star) Led cross-functional initiatives involving Product, Finance, and Go-to-Market teams with documented stakeholder impact Contributed to or led incident response for data pipeline failures affecting business-critical reporting How you’ll grow Within 1 month, you’ll plant your roots, including: Familiarizing yourself with team structure, roles, and roadmap Meeting stakeholders across Product, Finance, Operations, and Sales to understand pain points and priorities Auditing existing pipelines, models, and tooling to identify quick wins and longer-term opportunities Establishing weekly rituals for team sync, stakeholder updates, and iterative delivery cadence Within 3 months, you’ll start hitting your stride by: Shipping your first data models with measurable improvements in adoption or trust Implementing automated quality checks and lineage tracking for high-priority datasets Growing your existing team and fostering inclusive collaboration with analysts and data scientists to enable domain ownership Presenting your first progress update to leadership showing delivered value, not just activity Within 6 months, you’ll be making a clear impact through: Delivering a certified, cataloged dataset used by multiple teams for critical reporting or analysis Establishing DataOps practices that reduce pipeline failures and speed up delivery cycles Creating pathways for technically capable contributors outside your team to build and certify data products within governance guardrails Leading at least one cross-functional project that drives measurable business outcomes (e.g., faster financial close, improved sales forecasting) Creating visibility into team performance through metrics that matter to stakeholders Within 12 months, you’ll make this role your own by: Owning the technical vision for Internal Data Products with a roadmap others rally behind Delivering a portfolio of trusted data products that power OKR metrics and operational decisions Building a high-performing team known for execution, collaboration, and raising the bar Establishing your team as the go-to partner for turning business questions into data solutions Shaping how the company thinks about data governance, quality, and self-service analytics Of course what is outlined above is the ideal timeline, but things may shift based on business needs and other projects and tasks could be added at the discretion of your manager. Our Benefits Program We’re proud to regularly be recognized for our team, product and culture. Our benefits program includes: Insurance and benefit options that are built for both individuals and families Progressive policies to support work/life balance, like our flexible paid time off and parental leave program High-quality and well-maintained equipment—your computer will never prevent you from doing your best Wellness initiatives to ensure both health and mental well-being of our team Ongoing education and development opportunities via our Grow@Sprout program and employee-led diversity, equity and inclusion initiatives. Growing corporate social responsibility program that is driven by the involvement and passion of our team members Beautiful, convenient and state-of-the-art offices in Chicago’s Loop and downtown Seattle, for those who prefer an office setting Whenever possible, Sprout wants to provide our team with the flexibility to work in the location that makes the most sense for them. Sprout maintains a remote workforce in many places in the United States. However, we are not set up in all states, so please look at the drop-down box in our application to see whether your state is listed. Few roles require an office setting. If your position requires a physical presence in a Sprout office, it will be evident in the job listing and your offer letter. Individual base pay is based on various factors, including work location, relevant experience and skills, the responsibility of the role, and job duties/requirements. In the United States, we have two geographic pay zones. You can confirm the pay zone for your specific location with your recruiter during your interview process. For this role, our current base pay ranges for new hires in each zone are: Zone 1: $204,424 (min) - $255,530 (mid) - $306,636 (max) Zone 2: $185,800 (min) - $232,300 (mid) - $278,800 (max) Sprout’s compensation ranges are intentionally broad to allow for our team members' growth within their role. These ranges were determined by a market-based compensation approach; we used data from trusted third-party compensation sources to set equitable, consistent, and competitive ranges. We also evaluate compensation bi-annually, identify any changes in the market and make adjustments to our ranges and existing employee compensation as needed. Base pay is only one element of an employee's total compensation at Sprout. Every Sprout team member has an opportunity to receive restricted stock units (RSUs) under Sprout’s equity plan. Employees (and their dependents) are covered by medical, dental, vision, basic life, accidental death, and dismemberment insurance, and Modern Health (a wellness benefit). Employees are able to enroll in Sprout’s company’s 401k plan, in which Sprout will match 50% of your contributions up to 6% with a maximum contribution. Sprout offers “Flexible Paid Time Off” and ten paid holidays. We have outlined the various components to an employee’s full compensation package here to help you to understand our total rewards package. Sprout Social is proud to be an Equal Opportunity Employer and an Affirmative Action Employer. We do not discriminate based on identity- race, color, religion, national origin or ancestry, sex (including sexual identity), age, physical or mental disability, pregnancy, veteran or military status, unfavorable discharge from military service, genetic information, sexual orientation, marital status, order of protection status, citizenship status, arrest record or expunged or sealed convictions, or any other legally recognized protected basis under federal, state, or local law. Learn more about our commitment to diversity, equity and inclusion in our latest DEI Report. If you need a reasonable accommodation for any part of the employment process, please contact us by email at accommodations@sproutsocial.com and let us know the nature of your request and your contact information. We'll do all we can to ensure you're set up for success during our interview process while upholding your privacy, including requests for accommodation. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. For more information about our commitment to equal employment opportunity, please click here (1) Equal Opportunity Employment Poster (2) Sprout Social's Affirmative Action Statement (3) Pay Transparency Statement. When you apply for employment with Sprout Social, we will process your job applicant data, including your employment and education history, transcript, writing samples, and references as necessary to consider your job application for open positions. Your personal data will be shared with Greenhouse Software, Inc., and Crosschq, Inc., cloud services providers located in the United States of America and engaged by Sprout Social to help manage its recruitment and hiring process on Controller’s behalf. Accordingly, if you are located outside of the United States, by clicking “Submit Application” on this site, you consent to the transfer of your personal data to the United States. For more information about our privacy practices please visit our Privacy Policy. California residents have additional rights and should review the Additional Disclosures for California Residents section in our Privacy Policy. Additionally, Sprout Social participates in the E-Verify program in certain locations, as required by law. Sprout Social Inc. and its subsidiaries process personal data submitted through your application to assess your qualifications for employment and to inform our hiring decision and, where applicable, for required governmental reporting. For more information, please review Sprout's Global Applicant Privacy Notice.

Responsibilities

Lead the technical strategy and execution of the data platform while establishing DataOps practices. Mentor a team of data and analytics engineers to deliver impactful data products iteratively.