Sofi Senior Engineering Manager at Sofi leading data engineering for People Analytics including AI-assisted workforce analytics on Snowflake. Manage team and balance technical delivery with governance.
Responsibilities
Manage and develop data engineers
Manage, coach, and grow a team of data engineers.
Set expectations for quality, collaboration, delivery, and technical ownership.
Create a strong engineering culture where people solve hard problems, move quickly, and enjoy the work.
Collaborate with cross-functional teams, such as other data engineers, people analysts, data scientists, and business stakeholders, to translate requirements into production-ready deliverables, and communicate technical trade-offs to non-technical partners.
Write and review production code.
Lead design reviews, code reviews, and technical problem solving.
Step into critical pipelines, models, or AI workflows when needed.
Build scalable People data foundations
Design and maintain sustainable data models, pipelines, semantic layers, and testing frameworks.
Establish team practices for documentation, lineage, data quality, and observability.
Own engineering standards
Qualification
A bachelor's degree in Computer Science7+ years in data engineeringExperience designing dimensional modelsExperience with data qualityThorough knowledge of data modelingPeople analyticsExperience building AIExperience with Snowflake Cortex AIExperience in fintech
Required
A bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
7+ years in data engineering, analytics engineering, or data platform engineering.
5+ years managing or formally leading engineers.
Proficiency in data engineering tech stack: Python / SQL / dbt / Airflow / Gitlab .
Experience designing dimensional models, semantic layers, data marts, or analytical data products.
Experience with data quality, testing, lineage, observability, and production support.
Strong ability to translate business needs into technical architecture.
Experience with sensitive or regulated data and access controls.
Proven ability to coach engineers and build healthy technical culture
Strong communication with technical and non technical stakeholders
Proficiency in relational and cloud database platforms such as Snowflake, Redshift, or GCP.
Thorough knowledge of data modeling, database design, data architecture principles, data operations, and CI/CD.
Preferred
People analytics, HR data, compensation, talent, workforce planning, or Workday experience
Experience building AI, LLM, RAG, or natural language analytics products
Experience with Snowflake Cortex AI, Streamlit, semantic models, or evaluation frameworks
Experience in fintech, banking, or regulated environments
