Lead architecture and design of scalable native applications in Snowflake, Databricks, and other marketplaces
Drive best practices for performance, cost optimization, and reliability
Partner with product, data, and platform teams to deliver business-critical solutions
Enable AI/ML and advanced analytics through high-quality, accessible data systems
Establish engineering standards, design patterns, and governance practices
Mentor engineers and conduct architecture/design reviews
Ensure operational excellence through monitoring, observability, and incident response

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
8+ years of software engineering experience, with a focus on data platforms or data engineering
Strong expertise in Snowflake, Databricks/Apache Spark, Python, and SQL
Experience with cloud platforms
Proven experience designing and operating large-scale, production systems
Demonstrates strong system design and architectural thinking
Operates effectively in ambiguous, fast-moving environments
Influences across teams without direct authority
Strong ownership mindset with a focus on business impact

Benefits

Generous PTO and 11 paid holidays, plus well-being and volunteer time off.
Up to 16 weeks of fully paid parental leave and a baby stipend.
Multiple medical plan options with mental health and wellness support offerings.
401(k) with company match and vesting after one year.
$400 annual well-being stipend and tuition assistance up to $5,250.
Recognition Rewards, Referral bonuses, exclusive discounts and more!

Applicant Tracking System Keywords

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

Hard Skills & Tools

SnowflakeDatabricksApache SparkPythonSQLdata engineeringsystem designarchitectural thinkingperformance optimizationcost optimization

Soft Skills

mentoringinfluencingownership mindsetoperational excellencecommunicationcollaborationadaptabilityproblem-solvingleadershipgovernance practices