Lead and break down complex problems while keeping the broader data vision in focus.
Collaborate with engineers and engineering teams, providing mentorship and fostering a strong engineering culture.
Directly contribute to our data vision and engineering architecture. Produce and review technical artifacts that align with business goals.
Oversee engineering initiatives end-to-end, proactively managing risks, setting goals, and ensuring smooth execution and delivery.
Balance maintainability with tech debt and the development of new features.

Requirements

8+ years of software development experience.
Proven ability to work with multiple stakeholders and manage ambiguity and conflicting requirements.
Self-motivated with a strong sense of ownership in a fast-paced startup environment.
Expertise in Spark, ETLs, Distributed System architecture, MapReduce, SQL, and Big Data infrastructure.
Experience in balancing urgency and pragmatism with high-quality, long-term solutions.
10+ years of experience (preferred)
Strong background in Scala and functional programming (preferred)
Familiarity with Snowflake, Databricks, DBT, Airflow, Python, Terraform, and Go (preferred).

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

software developmentSparkETLsDistributed System architectureMapReduceSQLBig Data infrastructureScalafunctional programmingPython

Soft Skills

problem-solvingmentorshipcollaborationrisk managementgoal settingexecutiondeliveryself-motivationownershipadaptability