Data Platform Manager II

SPS Commerce

Minneapolis (MN)

Hybrid

USD 134,000 - 170,000

Full time

2 days ago
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Benefits offered by this job

Bonus
Equity
Annual incentive program
Benefits package

Job summary

SPS Commerce is a leading cloud-based provider of supply chain management solutions. We are seeking a Data Platform Manager to guide data engineers and drive the infrastructure behind analytics and AI initiatives.

You will shape the data strategy, mentor a growing team, and partner with enterprise stakeholders to deliver scalable, reliable data solutions across the organization. Hybrid work model in Minneapolis, MN environment, with a strong focus on collaboration and impact.

Qualifications

  • Bachelor’s degree in CS/IT/Data Eng or related field.
  • 5–7 years in data engineering, pipelines, and data infrastructure.
  • 3+ years leading data platform projects and teams.
  • Experience with cloud data platforms and modern data warehousing (e.g., Snowflake).
  • Experience with data integration and middleware tools (e.g., Informatica), APIs and queues.
  • Strong communication with stakeholders.

Responsibilities

  • Document current state and set vision with Data & AI Solutions Director.
  • Plan, manage, and onboard data platform technologies and integrations.
  • Drive automation via observability: metrics, logging, tracing.
  • Provide hands-on technical leadership and code reviews.
  • Manage incident and problem resolution to minimize downtime.
  • Collaborate across Enterprise Systems and business units.
  • Set goals and manage performance for data engineers.
  • Oversee budgets and schedules for the Data Platform team.

Skills

Data engineering
Pipeline development
Data infrastructure
Leadership
Team management
Cloud data platforms
Snowflake
Informatica
APIs
Observability

Education

Bachelor's degree in CS/IT/Data Eng or related
CDMP (preferred)
CISSP (preferred)

Tools

Snowflake
Informatica

Job description

Description

SPS Commerce is a leading provider of cloud-based supply chain management solutions, serving a global network of retail trading partners. We foster a collaborative and inclusive work environment where innovation and continuous improvement are highly valued. Join SPS Commerce and be part of a dynamic team that's transforming the global retail supply chain!

Position Summary

The Data Platform Manager is a key contributor to the SPS data strategy and oversees a team of data engineers responsible for the infrastructure and operations that support the organization’s data collection, storage, processing, and access. This role ensures that data engineers’ efforts align with business objectives, follow best practices, and support the organization’s broader data goals.

Key Responsibilities
  • SPS data strategy: Collaborate with the Data & AI Solutions Director and Solution Architect to document current state, set the vision for the future state, and ensure execution against the strategic plan.
  • Data infrastructure & operations: Plan, manage, and support the selection and use of data platform technologies, working closely with the engineering team and Solution Architect to onboard new technology and introduce new processes, ensuring seamless integration with other systems and applications.
  • Continuous improvement: Manage the day-to-day operations of data systems and foster a culture of continuous improvement across the team; drive automation through monitoring and tooling to enhance efficiency and reduce delivery lead time, including implementing observability frameworks such as metrics, logging, and tracing.
  • Technical guidance: Provide hands‑on technical leadership and design/code reviews, ensuring adherence to engineering best practices, coding standards, and security protocols.
  • Incident & problem management: Manage and resolve technical issues affecting data pipelines and infrastructure to minimize downtime, implementing proactive measures to prevent recurring problems.
  • Collaboration & communication: Coordinate with managers and departments across Enterprise Systems and business units, developing strategies to optimize data operations and support enterprise AI and analytics initiatives. Communicate frequently and effectively, ensuring alignment with business goals and user expectations.
  • Staff management: Establish goals and manage performance for a team of data engineers, guiding the team in designing scalable and maintainable data solutions and fostering a collaborative, high‑performing, data‑driven culture, including supporting team members through evolving skill sets and role expectations in an increasingly agentic environment.
  • Financial oversight: Manage budgets and schedules for the Data Platform team’s projects and initiatives.
Required Qualifications
  • Education: Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field.
  • Proven experience: At least 5–7 years of experience in data engineering, pipeline development, and data infrastructure architecture.
  • Team leadership: At least 3 years of experience managing data platform projects and teams, with examples of performance monitoring, incident management, and continuous improvement practices.
  • Leadership skills: Strong leadership and managerial skills, with excellent problem‑solving and decision‑making abilities.
  • Data platforms: Experience with cloud data platforms and modern data warehousing technologies (e.g., Snowflake).
  • Integration tools: Experience with data integration and middleware tools (e.g., Informatica), APIs, and queuing systems.
  • Communication: Effective communication and collaboration skills to work with various stakeholders, with the ability to convey complex technical information to non‑technical audiences.
Preferred Qualifications
  • Bachelor’s degree in Computer Science or a related field and a minimum of 10+ years of related experience, or equivalent.
  • Professional certifications in data management, analytics, and governance (e.g., Certified Data Management Professional (CDMP), Certified Information Systems Security Professional (CISSP)).
  • Experience implementing observability frameworks (metrics, logging, tracing) for data systems.
  • Experience leading teams through agentic or AI‑driven transformation, including evolving roles and operating models.
  • Experience with data governance, cataloging, and data quality tooling (e.g., Atlan, Alation).
  • Experience in Retail or Supply Chain technology solutions.
Location

This role follows a hybrid work model, with regular in‑office presence required at our Minneapolis, MN office.

What We Offer

At SPS Commerce, we are committed to ensuring that each employee’s compensation reflects their unique experiences, performance, and skills in their role. The salary range for this role considers several factors, including education, relevant skills, work history, certifications, location, and more.

The annual salary range for this role is: $133,800.00–$170,000.00 + bonus & equity. The actual salary offered will be determined based on the factors listed above and may fall anywhere within the range.

Additionally, you may also be eligible to participate in an annual incentive program. An incentive award, if granted, is based on individual and/or organizational performance.

SPS Commerce offers a comprehensive benefits package designed to support employees’ health, well‑being, and financial security. Benefits are country‑specific and aligned with local laws and market practices.

Commitment To Our Employees

At SPS we power connections that drive the world of commerce forward, and our success depends on making strong decisions, fostering innovation, delivering unparalleled customer solutions, and driving outstanding business performance. We achieve this by creating an environment where every employee feels a true sense of belonging. We embrace diversity, equity, and inclusion, ensuring everyone feels accepted, valued, and empowered to make a meaningful impact.

We are committed to affirmative action and equal opportunity in all aspects of employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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