Staff Data Platform Engineer

About the role

We are seeking a Staff Data Platform Engineer to join our dynamic team. This role involves architecting, building, and maintaining robust, scalable data systems that directly impact the lives and well-being of thousands of workers worldwide. The ideal candidate will have 7+ years of experience in data platform engineering, data infrastructure, or related technical roles, along with a strong programming background and operational maturity.

Responsibilities

• Architect, build, and maintain data systems that deliver end customer value
• Centralize and standardize data collection, data transformation, and analysis, data storage, and data serving approaches and processes
• Support our ML/GenAI teams and functionality with platform capabilities for data delivery, processing, and infrastructure
• Support our reporting and analytics teams in delivering both internal and customer-facing business insights
• Stay current with emerging technologies and trends in a fast-evolving technology ecosystem
• Operatively manage our data infrastructure, vendors, tooling, and processes

Requirements

• 7+ years of experience in data platform engineering, data infrastructure, or related technical roles
• Strong programming background (e.g., Python)
• Operational maturity (e.g., CI/CD systems, Infrastructure as Code, Kubernetes, monitoring, distributed systems, security and privacy best practices, etc.)
• Experience in building and maintaining analytics stacks (e.g., Snowflake, dbt, Looker)
• Experience running GenAI/ML systems in production (e.g., MLOps tooling, vector search, embedding stores, feature engineering at scale, etc.)
• Experience architecting data systems (e.g., Airflow, Kafka, general system design)

Qualifications

• Core belief that a strong data foundation is fundamental to building great products
• The ability to set technical direction for how the data platform evolves to support AI-driven product capabilities over a 1-2 year horizon
• The ability to establish standards and best practices for data infrastructure, tooling, and AI-augmented workflows that other engineering teams adopt
• The ability to mentor and influence engineers across the organization on data systems architecture and AI-augmented engineering practices
• The ability to evaluate emerging AI and data tooling, and drive adoption of the highest-impact ones across the platform

Skills

• Strong programming skills (e.g., Python)
• Experience with data platforms (e.g., Snowflake, dbt, Looker)
• Experience with machine learning and AI (e.g., MLOps tooling, vector search, embedding stores, feature engineering at scale)
• Experience with data architecture (e.g., Airflow, Kafka, general system design)

Benefits

• Access to BetterUp coaching; one for you and one for a friend or family member
• A competitive compensation plan with opportunity for advancement
• Medical, dental, and vision insurance
• Flexible paid time off
• All federal/statutory holidays observed
• 4 BetterUp Inner Workdays
• 5 Volunteer Days to give back
• Learning and Development stipend
• Company-wide Summer & Winter breaks
• Year-round charitable contribution of your choice on behalf of BetterUp
• 401(k) self-contribution

Pay

$216,000 – $270,000: New York City and San Francisco
$194,400 – $243,000: All other locations

Schedule

Hybrid Work Policy & Hub Locations
BetterUp is a hybrid company that values in-person collaboration. Our US hub locations include: Austin, TX; New York City, NY; San Francisco, CA; and the Arlington, VA.
Hybrid Expectation: You will be expected to work from your local office at least 2 days per week (or 8 days per month) and should be able to realistically commit to this structure before applying.
This hybrid role will require travel up to 25% of the time for client engagements.
If you are not located near a hub: You will work as a fully remote employee. This remote role will require travel up to 50% of the time for client engagements and internal BetterUp purposes.

Contact

If you are not located near a hub: You will work as a fully remote employee. This remote role will require travel up to 50% of the time for client engagements and internal BetterUp purposes. This role is open to candidates across the US. Please review the above carefully and ensure the applicable model works for your situation before applying. We are dedicated to building diverse teams that fuel an authentic workplace and sense of belonging for each and every employee. We know applying for a job can be intimidating, please don’t hesitate to reach out — we encourage everyone interested in joining us to apply.