SNOWFLAKE FRONTIER ENGINEERING MANAGER, MIGRATIONS

Posted Yesterday
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Menlo Park, CA, USA
In-Office
176K-231K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics
Let's build a world where data and AI turn possibilities into reality.
The Role
Leads forward-deployed engineering teams delivering enterprise migrations to Snowflake while developing AI-powered migration tools. Responsibilities include people management, customer delivery, project oversight, technical escalation, product and engineering roadmap development, migration strategy, hiring, cross-functional collaboration, proposal scoping, and executive presentations. The role requires deep expertise in databases, cloud platforms, data integration, analytics stacks, SQL, scripting, and enterprise software delivery.
Summary Generated by Built In

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.

Snowflake redefined the data landscape over a decade ago, and our biggest opportunity is also our customers' biggest challenge: migration. For every enterprise ready to harness the power of the AI Data Cloud, there lies a complex web of legacy systems that can take years and millions of dollars to untangle. We believe Generative AI is the key — we are building products that don't just move data, but understand and rewrite the logic of entire data applications.

We are seeking a Manager, Frontier Engineering (Migrations) to sit at the intersection of customer delivery and product engineering. This is a unique hybrid role: you will lead a team of forward-deployed engineers who work directly with customers and partners on complex migration projects while simultaneously driving the development of AI-powered migration tools and products. Your team will be the bridge between field realities and product innovation — turning hard-won migration patterns into scalable, automated solutions.

AS A MANAGER, MIGRATIONS YOU WILL:

Team Leadership & People Management

  • Manage and mentor a team of Forward Deployed Engineers, providing clear feedback, identifying strengths, and developing growth paths

  • Recruit, hire, and onboard future team members, setting them up for success in both customer-facing delivery and engineering contributions

  • Foster a culture of creativity, innovation, and practical decision-making across delivery and engineering workstreams

  • Support engineers in their career development, growing both technical delivery leads and engineering leaders

Customer Delivery & Project Execution

  • Provide strategic oversight for migration projects, ensuring alignment with customer objectives and company goals

  • Lead teams executing complex migrations from legacy systems (Oracle, Teradata, Netezza, SQL Server, etc.) to the Snowflake platform

  • Act as the primary escalation point for delivery concerns, working closely with customers and system integrators

  • Maintain a hands-on presence on strategic projects, leveraging your technical expertise to assess quality and unblock teams

  • Collaborate with sales teams to scope opportunities, develop proposals, and ensure effective account strategy execution

Engineering & Product Build

  • Drive the design, development, and iteration of AI-powered migration tools and products based on real-world customer needs

  • Guide the team through an evolving AI ecosystem to build AI-first products — including code translation, developer co-pilots, and semantic validation

  • Translate field insights and customer requirements into engineering roadmap items and product improvements

  • Collaborate with Engineering and Product Management organizations to align on priorities and deliver high-quality solutions

  • Encourage the development and sharing of best practices, utilities, and accelerators that streamline migrations and feed back into product

Cross-Functional Impact

  • Work with organizational leaders to influence GTM strategies, leading initiatives and improvements across Sales and Engineering

  • Facilitate knowledge sharing and cross-team learning between field engineers and product engineering teams

  • Present to both technical and executive audiences, articulating migration strategies, product vision, and business outcomes

OUR IDEAL CANDIDATE WILL HAVE:

  • University degree in computer science, engineering, mathematics, or related fields (or equivalent experience)

  • 7+ years of experience in technical roles involving customer-facing delivery, engineering

  • 5+ years of people management experience — mentoring, coaching, and developing technical teams

  • 3+ years of experience building and delivering enterprise software products, particularly involving AI/ML or developer tools

  • Demonstrated success leading teams through complex data platform migrations and cloud transformation projects

  • Strong foundation in databases, data warehouses, and data processing — hands-on experience with large-scale systems (Oracle, Teradata, Netezza, SQL Server, Greenplum, Hadoop)

  • Deep understanding of cloud platforms (AWS, Azure, GCP) and the complete data analytics stack (ETL, data platform design, BI/analytics tools)

  • Familiarity with data integration/transformation tools (Informatica, DataStage, Talend, Matillion, dbt) and BI tools (Tableau, MicroStrategy, Business Objects)

  • Extensive hands-on expertise with SQL, SQL analytics, and scripting (Python, Perl, Bash)

  • Resourceful, data-driven, strong partners, and able to step in as PM, program manager, or architect when needed

  • Hiring and growing the team, technical leadership (including for staff+ engineers), driving projects from idea to production, and partnering across teams and with customers

  • Strong experience scoping engagements — developing delivery estimates, proposals, and project plans

  • Outstanding presentation skills for both technical and executive audiences

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Skills Required

  • University degree in computer science, engineering, mathematics, or a related field, or equivalent experience
  • 7+ years of experience in technical roles involving customer-facing delivery and engineering
  • 5+ years of people management experience mentoring, coaching, and developing technical teams
  • 3+ years of experience building and delivering enterprise software products, particularly involving AI/ML or developer tools
  • Demonstrated success leading complex data platform migrations and cloud transformation projects
  • Strong foundation in databases, data warehouses, and data processing
  • Hands-on experience with large-scale systems including Oracle, Teradata, Netezza, SQL Server, Greenplum, or Hadoop
  • Deep understanding of AWS, Azure, or GCP
  • Understanding of the complete data analytics stack, including ETL, data platform design, and BI or analytics tools
  • Familiarity with Informatica, DataStage, Talend, Matillion, dbt, Tableau, MicroStrategy, or Business Objects
  • Extensive hands-on expertise with SQL, SQL analytics, and scripting using Python, Perl, or Bash
  • Ability to provide technical leadership, hire and grow teams, drive projects from idea to production, and partner across teams and with customers
  • Experience scoping engagements and developing delivery estimates, proposals, and project plans
  • Outstanding presentation skills for technical and executive audiences

Snowflake Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.

  • Fair & Transparent Compensation — Pay is widely viewed as competitive and aligned with market value, with “fair pay” and top-tier total compensation frequently cited for engineering and technical roles.
  • Equity Value & Accessibility — Equity and ESPP participation are standout components of total compensation, with robust RSU grants often highlighted as a major advantage, particularly in engineering.
  • Healthcare Strength — Health coverage is described as strong and comprehensive, complemented by wellness resources and related programs.

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The Company
HQ: Bozeman, MT
9,023 Employees
Year Founded: 2012

What We Do

Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.

Why Work With Us

Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.

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