Manager, Data Engineering

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. Youll define the architecture roadmap establish DataOps practices build the teams 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 Sprouts Data team

At Sprout weve only scratched the surface of whats possible with our data. This is a unique opportunity to shape a data function at an inflection point. Youll join a growing team thats been building governance foundations to power AI capabilities now ready to scale both in size and technical sophistication. Youll 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 yourselfthis is the role.

What youll do

• Lead iterative delivery of data products using vertical thin-slicingshipping 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 practicesCI/CD automated testing monitoringthat make data reliable by default
• Present progress and technical decisions to leadership in terms of business outcomes not just infrastructure

What youll bring

Youre a builder and executor whos worked in SaaS or B2B environments where strong foundations and standards are critical to data adoption. Youve 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 youll grow

Within 1 month youll 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 youll 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 youll 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 youll 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
Were 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 equipmentyour 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 program employee-led diversity equity and inclusion initiatives and mentorship programs for aspiring leaders
• Growing corporate social responsibility program that is driven by the involvement and passion of our team members

The base pay range for this role is $167100 (min) $208900 (mid) $250700 (max) CAD annually. Individual base pay is based on various factors including work location relevant experience and skills the responsibility of the role and job duties/requirements.

The listed ranges represent the full earning potential in this position. Starting salaries for well-qualified new hires are typically around the midpoint of the range. 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 employees total compensation at Sprout. Every Sprout team member has an opportunity to receive restricted stock units (RSUs) under Sprouts equity plan. We have outlined the various components to an employees full compensation packagehere to help you to understand our total rewards package.