Architect, build, and run the data backbone that powers analytics, machine learning, and operational reporting. Responsible for designing, evolving, and maintaining our Data Lake/Lakehouse infrastructure to meet business needs and ensure reliability, scalability, and security.
Key Responsibilities:
- Design and evolve our Data Lake/Lakehouse (Delta Lake) on AWS and/or Azure, including storage layout, security, compute strategy, and SLAs.
- Develop and maintain batch and streaming ETL/ELT pipelines using Apache Spark (PySpark/Scala), Databricks Workflows, and/or Azure Data Factory.
- Integrate data sources via APIs, CDC, and message buses (Kinesis/Event Hubs/Kafka).
- Build and maintain dimensional/semantic models for Databricks SQL to support BI and production ML features.
- Implement observability, logging, anomaly detection, and data quality testing.
- Manage CI/CD processes, infrastructure as code, and automated testing.
- Optimize data processing performance and costs.
- Enforce governance policies, including RBAC, row-level security, cataloging, lineage, and PII compliance.
- Collaborate with cross-functional teams to define SLAs, manage incident response, and establish best practices.
- Mentor team members and lead design/code reviews.
- Performs work under direct supervision.
- Handles basic issues and problems and refers more complex issues to higher-level staff.
- Diligent, Punctual and Ready to work!
- Perform other duties as needed in support of business objectives assigned by supervisor.
What Success Looks Like in 6-12 Months
- Critical domains are flowing through trustworthy, observable pipelines with <1% failed runs/month and clear SLAs.
- 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 are rare and boring.
Note: This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to modification to accommodate individuals with disabilities.
Technical Skills & Abilities:
- Expert-level Python and SQL skills; working knowledge of Scala/Java for Spark.
- Advanced experience with Apache Spark and Databricks.
- Strong AWS and/or Azure cloud infrastructure skills.
- Proficiency in orchestration tools (Airflow, ADF) and transformation tools (dbt).
- Experience with Snowflake, Redshift, or Databricks SQL.
- Knowledge of data modeling, testing, CI/CD, Docker/Linux, and Git.
- Ability to translate business needs into scalable data products.
Education & Experience:
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent work experience).
- 8+ years of data engineering experience.
- 3–5+ years working with Apache Spark and Databricks.
- Experience delivering end-to-end data solutions in production environments
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).
Requirements:
- Must be at least 21 years of age.
- Must be able to push, pull, move, and/or lift a minimum of 15 lbs. to a minimum height of 5 feet and able to push, pull, move, and/or carry such weight a minimum distance of 50 feet.
- Prolonged periods of standing, sitting at a desk, and working on a computer
- Must be able to access and navigate each department at the organization's facilities.
- Ability to get in and out of the vehicle and walk up and down stairs during your shift.
- Must be able to stand, sit for prolonged periods of time, bend, kneel, squat, and twist.
- Ability to travel occasionally for team meetings or conferences
The physical demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Company:
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 STIIIZY, 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 are building a consumer-centric organization that is focused on sharing the transformational potential of cannabis with the world.
Our STIIIZY 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 proudly rooted in California and growing nationwide, with plans to expand into new markets. Additionally, we’re building distribution networks to reach over 60 countries, fueling our continued global growth!
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!
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 and paid training. 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.
- Employee discounts on products and services.
We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
