Senior Data Scientist

A bit about us:
Are you interested in working for the world's largest cannabis market with a footprint that covers the entire breadth of the state of California? Are you someone who wants to be part of the growth of a fast-growing industry? At client company, our mission is clear: to provide the ultimate one stop shop cannabis experience by offering exceptional customer service and diversified products. We strive to build long-term customer loyalty. We're building a consumer-centric organization that is focused on sharing the transformational potential of cannabis with the world.
Our product line is one of the best-selling cannabis brands in the market today and has claimed the title of the best-selling vape brand across all BDSA-tracked markets and best-selling brand overall in the California market! We are rooted in California and have expanded our operations across the United States, with even more growth on the horizon! Additionally, we're building distribution networks to bring our products to over 60 countries worldwide.
We recognize that our employees are at the center of our success, and we take pride in a corporate culture that emphasizes our core values: Influence, Inspire, Innovate, Win, & Grow!
Our employees come from a wide range of retail backgrounds, each bringing their own unique skills and talents to the table as we work together to continue our incredible growth. If you are interested in partaking in the journey of building a nationally recognized and leading brand, we want to hear from you!
Why join us?
Benefits & Compensation:
Additional details about compensation and benefits eligibility for this role will be provided during the hiring process. All employees are provided competitive compensation, paid training, and employee discounts on our products and services. We offer a range of benefits packages based on employee eligibility, including:
Paid Vacation Time, Paid Sick Leave, Paid Holidays, Parental Leave.
Health, Dental, and Vision Insurance.
Employee Assistance Program.
401k with generous employer match.
Life Insurance.
Job Details
Why this role
You'll architect, build, and run the data backbone that powers analytics, ML, and operational reporting.
What you'll do

• Own the lakehouse. Design and evolve our Data Lake/Lakehouse (Delta Lake) on AWS and/or Azure, from storage layout and security to compute strategy (Databricks, EMR, Synapse) and SLAs.
• Build serious pipelines. Develop batch and streaming ETL/ELT with Apache Spark (PySpark/Scala), Databricks Workflows, and/or Azure Data Factory; integrate sources via APIs, CDC, and message buses (Kinesis/Event Hubs/Kafka).
• Model for analytics & ML. Deliver well-tested models and dimensional/semantic layers for Databricks SQL that power BI and production ML features.
• Engineer for production. Implement observability (custom Spark metrics/listeners, logging, data quality tests, anomaly alerts to Teams), CI/CD (GitHub Actions/Azure Pipelines), infra as code (Terraform), and automated testing (pytest).
• Optimize relentlessly. Right-size clusters, tune Spark jobs, partitioning, caching, and storage formats to cut runtime and reduce cloud spend, and prove it with dashboards.
• Harden governance. Enforce RBAC/row-level security, cataloging/lineage, PII handling, and compliance (e.g., GDPR; HIPAA/FHIR; CCPA/CDPA experience is a plus).
• Partner cross-functionally. Work with analytics, product, and platform teams to define SLAs, own incident response/runbooks, and guide data contract best practices.
• Mentor and lead. Drive design reviews, coach engineers, and set engineering standards for reliability, readability, and long-term maintainability.

What you'll bring

• 8+ years hands-on in data engineering (we're flexible for exceptional builders).
• Expert Python and SQL; working Scala/Java for Spark when needed.
• 3-5+ years with Apache Spark and Databricks (jobs, clusters, Delta Live Tables, performance tuning).
• Strong cloud chops in AWS (S3, EMR, Glue, Lambda, Kinesis, IAM) and/or Azure (ADLS Gen2, ADF, Event Hubs, Synapse, Functions).
• Production orchestration with Airflow and/or ADF, plus dbt for transformation.
• Warehouse experience with Snowflake (preferred) and/or Redshift/Databricks SQL.
• Proven cost/performance optimization and reliability wins (e.g., cutting EMR/Databricks costs, reducing downtime, eliminating flaky jobs).
• Solid grounding in data modeling (dimensional/star), testing, CI/CD, Docker/Linux, and Git.
• Comfort translating business needs into scalable data products and leading projects end-to-end.

Nice to have

• Experience building custom Spark listeners/metrics, event-driven architectures, or low-latency streaming.
• FHIR/healthcare data pipelines and DLT troubleshooting.
• Power BI/Tableau/Looker dashboarding to close the loop on quality and impact.
• Exposure to governance frameworks (catalog/lineage, RLS, data contracts) and MLOps (feature stores, model monitoring).

Our stack (you don't need all of it) Databricks, Spark (PySpark/Scala), Delta Lake, Airflow, ADF, dbt, AWS (S3/EMR/Glue/Kinesis), Azure (ADLS/Synapse/Event Hubs), Terraform, GitHub Actions, Docker, CloudWatch, REST. What success looks like in 6-12 months

• Critical domains are flowing through trustworthy, observable pipelines with
• 30-50% reduction in time-to-insight on key analytics use cases via dbt and semantic layers.
• Meaningful cost savings from tuned compute/storage without sacrificing latency.
• Stakeholders trust the platform, alerts are actionable, incidents a

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.