Note: The job is a remote job and is open to candidates in USA. Motive Software is a company focused on human transformation, and they are seeking a Staff Data Platform Engineer to craft robust, scalable data systems that impact the lives of workers worldwide. In this role, you will be responsible for architecting, building, and maintaining enterprise-grade data systems while collaborating with various stakeholders to unlock data enablement.
Responsibilities
- Architect, build, and maintain data systems that are delivering on 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 tech nology ecosystem
- Operationally managing our data infrastructure, vendors, tooling, and processes
- Set technical direction for how the data platform evolves to support AI-driven product capabilities over a 1–2 year horizon
- Establish standards and best practices for data infrastructure, tooling, and AI-augmented workflows that other engineering teams adopt
- Mentor and influence engineers across the organization on data systems architecture and AI-augmented engineering practices
- Evaluate emerging AI and data tooling, and drive adoption of the highest-impact ones across the platform
Skills
- 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)
- Running GenAI / ML systems in production (e.g. MLOps tooling, vector search, embedding stores, feature engineering at scale, etc.)
- Architecting data systems (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 (https://www.betterup.co/inner-work)
- 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
- 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.
Company Overview