Staff Data Engineer

Our R&D Team is seeking a Staff Data Engineer with deep expertise and experience in designing & building big data platforms, including data modeling, data warehousing, data ingestion pipelines, ETL, data governance and cataloging. The Staff Data Engineer will champion our data strategy and practices, including tech stack choices, the integration of our data platform with our products, and the enablement of new AI-based capabilities as well as business intelligence for multiple stakeholders. To be successful in this role they must have strong technical skills, a proven track record of building large scale data platforms.

OUTCOMES

• Oversee 15Five’s Data Engineering efforts:
• Design, build and maintain our real-time data platform enabling the ingestion and processing of large scale data in near real time.
• Make tech stack choices and infrastructure related decisions that will support our mid and long term data needs and strategy, taking into account flexibility and cost efficiency.
• Design & champion our semantic data modeling to capture our data elements and in alignment with our business model and goals to enable extensibility and scalability.
• Build and manage ETL processes to integrate external data sources and enable new & enriched datasets.
• Champion data governance practices, including data security, sanitization, retention policies, BCDR, and access controls.
• Collaborate with data analysts and business stakeholders to enable integrations of data into reporting and BI services.
• Collaborate with data scientists in building & enabling access to new datasets needed to run statistical analysis and train machine learning models.
• Maintain data reliability, high availability, and accessibility.

COMPETENCIES

• Scope, Skill, and Execution - Majority of time is focused on tactical efforts, exhibit short- and medium-term thinking through issue identification and proposals with minimal supervision. Able to design for flexibility, efficiency and cost effectiveness.
• Cognition & Scalability - Proactively and independently identifies issues, root causes, and maps out data needs to solve problems. Has a demonstrated understanding of short- and long-term impacts of problems and applies good judgment in prioritizing problems to solve. 
• Leadership Accountability - Eager to mentor others, holds accountability for own decisions, and acts as an informed participant in team-level decisions.  Works closely with manager to identify appropriate career progression and development objectives and seeks mentorship and guidance from experienced members of the team to further growth.
• Communication & Influence - Independently forms cross-team discussions and directs deliverables, deadlines, and hand-offs effectively. Independently manages sources of cross-team tension and escalates when appropriate.  Shares suggests to improve 15Five’s culture and supports others ideas, contributes to an inclusive and effective environment for collaborating, and ensures a sense of belonging for all teammates. 
• Customer & External Focus - Understand and articulate 15Five’s position in the competitive landscape. Represents 15Five and the brand well.

WHAT YOU'LL BRING

• A computer science degree or equivalent experience is required.
• 8+ years of experience as a data engineer or software engineer focusing on building data infrastructure, solving complex technical challenges at a large scale, and delivering data products that drive business impact.
• Experience in architect, develop, deploy, and manage a new, end-to-end data infrastructure leveraging cloud technologies that ingest data from a wide range of internal and external sources, and enables API-based or user-friendly consumption of data.
• Experience in designing data architecture for multiple database models such as RDBMS, document, columnar, graph, and key-value data stores.
• Expertise in both SQL and Python.
• Proficiency in both SQL and NoSQL database technologies.
• Proficiency in Data warehouses, Data lakes, and Data orchestration tools.
• Proficiency in data modeling, data sanitization, and data security.
• Experience in Data governance practices, and Data discovery.
• Well-verse in modern cloud native data tech stacks.
• Experience with container tech such as Docker and Kubernetes.
• Experience with data and ML orchestration tools.
• Excellent communication and collaboration skills capable of working with different business partners and stakeholders.

ABOUT 15FIVE15Five’s strategic performance management platform drives action and impact, helping businesses and their people thrive. Combining generative AI, custom analytics and human-centered principles, HR leader