Senior Manager of Data Engineering

At Appfire, we believe that great work happens when people get to choose how they work. After 20 years of creating software that empowers teams to break silos and collaborate seamlessly, we've learned that one size does not fit all. That’s why at Appfire, you choose. 

Choose to work where you thrive: Whether from home, in one of our offices, or while exploring the world, you decide where you’re most productive. From hardware and software to access to two decades of collective wisdom on working effectively in a remote-first company, we’ve got you covered.

Choose to balance your life without compromise: Plan your workday around your needs and what matters most to you. Enjoy flexible time off without the hassle of complicated approvals. From day one, we trust you to deliver quality work without sacrificing your personal life, hobbies, loved ones, and well-being.

Choose to grow on your terms: Take charge of your professional growth with access to online learning platforms, facilitated training, leadership programs, and internal hackathons. Collaborate with a global team to gain fresh perspectives. When you're ready for a new challenge, our internal mobility program is here to support your journey.

No one knows you better than you do. So join us and customize your experience. Choose how you want to work. Choose Appfire.

 

About the role

Appfire is hiring a full-time Senior Manager and Head of Data Engineering! 

In this key role, you will be responsible for Appfire’s central data asset, driving the next phase of data-driven decisions and data products by creating and executing an enterprise-wide data strategy. Our Data Engineering organization is responsible for building, maintaining, and optimizing data pipelines across the company and managing our central data asset, Firelake (Snowflake Data Cloud).

You will lead a team leveraging a variety of tools that connect, describe, and activate our data ecosystem, utilizing technologies such as DBT, Airflow, Airbyte, Fivetran, Hightouch, AWS, Astronomer, Sigma, and more. You will identify best-in-class solutions and implement engineering processes that set Appfire up for long-term data success.

As a key leader within our central Data Insights team, you will provide expertise to support company-wide data initiatives. You will design and guide our data stack strategy, leading a team of Data Engineers while also contributing hands-on as an individual contributor. You will develop strong relationships across Appfire, ensuring a deep understanding of business data needs and pathways to solving them while informing systems both internal and external to Firelake. You will maintain a vision for the future of Appfire’s data stack and chart the path to get there.

Appfire is growing quickly and we have a lot to accomplish together.

This role requires you to work remotely from East Coast (U.S.) time zone to align with global team time zones.

Your everyday tasks will include:

• Lead Appfire’s data ecosystem, defining a vision for what data means to the company and executing a roadmap to achieve that vision.
• Manage and grow a global team of Data Engineers, developing solutions that connect, monitor, and activate our data ecosystem while improving its robustness, capabilities, and cost-effectiveness.
• Push the boundaries of Firelake through experimentation and integration across the company, including AI/ML, Data Products, APIs, and Services.
• Collaborate across teams to ensure consistency, efficiency, and a single version of the truth for company-wide data.
• Own Data Governance standards in partnership with executive leadership.

Skills and experience you'll need to succeed:

• 10+ years of experience in data engineering, with expertise in data ecosystem architecture and best practices.
• 4+ years of experience leading Data Engineering teams and subject matter experts.
• Strong organizational skills, with the ability to manage multiple concurrent projects at both the individual contributor and team levels.
• Proven experience building and executing company-wide data strategies under a unified vision.
• Experience rallying a team around a shared purpose.
• Python, SQL, AWS, DBT, and Snowflake experience required.
• Experience with production model pipelines and Data Science / Machine Learning stacks is preferred.
• Experience working and leading in a remote-work environment.

Beyond the resume skills that match our culture and this role:

• You are dedicated to elevating client and co-worker experiences, knowing that exceptional work centers on serving others.
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