What You’ll Do:
As the Senior Manager, Data Platform for the Global Analytics & Insights organization at Avalara, you will lead the team responsible for building and scaling the foundational data platform that powers analytics, machine learning, and AI applications across the company. You will define and execute the vision for how we ingest, store, govern, and serve data at scale, with a focus on efficiency, reliability, and security. Using a modern data stack (Snowflake, dbt, Airflow, Python), you’ll ensure every data consumer within Avalara has the trusted data, tools, and access they need to succeed. You will report to the Senior Director, Data & Analytics Engineering.
This role is not eligible for visa sponsorship.
This is a remote opportunity. #LI-Remote

What Your Responsibilities Will Be:

• You will lead and grow a high-performing team of data platform engineers, fostering technical excellence and professional growth
• Own the platform: design, build, and operate core components including data lake/warehouse, ingestion frameworks, orchestration, metadata management, and observability
• Partner with business and technology stakeholders to translate business priorities into technical roadmaps and execution
• Drive data governance, privacy, and security, including role-based access, compliance, and monitoring
• Evaluate and introduce emerging technologies that improve scalability, reliability, and developer experience
• Lead with an “AI-first” mindset by embedding AI/ML capabilities into platform architecture, tooling, and operations

What You’ll Need to be Successful:

• Bachelor’s degree in Computer Science or Engineering, or related field
• Minimum of 8 years experience in data engineering, data infrastructure, or platform engineering, with deep expertise in modern data architectures
• Minimum of 3 years people leadership experience, scaling and mentoring engineering teams
• Technical knowledge of cloud data platforms (Snowflake) and orchestration (Airflow)
• Technical knowledge of ETL frameworks (dbt) and patterns

Pay Range Details
The base pay range(s) below are provided in compliance with state specific laws. Pay ranges may be different in other locations.
Colorado $185,800-$306,600 (annually)
Washington $185,800-$338,800 (annually)
California $185,800-$371,100 (annually)
NYC $205,400-$371,100 (annually)
The pay range above is the general base pay range for you in the state listed. Your actual salary/wage may be based on several factors, such as geographic location, candidate experience and qualifications, market and business considerations. This role is eligible for an annual bonus based on company performance, depending on the terms of the applicable plan and your role.
How We’ll Take Care of You:
Total Rewards
In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.
Health & Wellness
Benefits vary by location but generally include private medical, life, and disability insurance.
Inclusive culture and diversity
Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.
What You Need To Know About Avalara:
We’re defining the relationship between tax and tech.
We’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we’re a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world.
We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too.

• You will lead and grow a high-performing team of data platform engineers, fostering technical excellence and professional growth
• Own the platform: design, build, and operate core components including data lake/warehouse, ingestion frameworks, orchestration, metadata management, and observability
• Partner with business and technology stakeholders to translate business priorities into technical roadmaps and execution
• Drive data governance, privacy, and security, including role-based access, compliance, and monitoring
• Evaluate and introduce emerging technologies that improve scalability, reliability, and developer experience
• Lead with an “AI-first” mindset by embedding AI/ML capabilities into platform architecture, tooling, and operation