Data Platform Engineer

Tatari is on a mission to revolutionize TV advertising. We work with some of your favorite disruptor brands—like Calm, Vuori, Rocket Money, and hundreds more—to grow their business using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience. Our technology and services are pushing the industry forward, enabling businesses of any size to advertise on TV.

Named one of the 16 Hottest Ad Tech Companies by Business Insider and Best Places to Work by Inc. Magazine, Tatari is experiencing rapid growth. Our executive team is comprised of former founders and senior leaders at fast-rising startups like Shazam, TrueCar, AdapTV, and LiveRail and larger, more established tech companies like Amazon, Google, Meta, Microsoft, and Yahoo. 

As a data platform engineer on our core Data Platform team, you will help level up Tatari’s data platform by designing, building and scaling the infrastructure which powers all of our data engineering, data science, and analytics efforts. As part of a team, you will be responsible for laying down industry standard data engineering practices and solutions, bringing in new tools and technologies when necessary and doubling down efforts to scale current data infrastructure. The ideal candidate will have strong infrastructure and data engineering skills, a proven track record of successfully building and scaling data infrastructure leveraged by growing companies as well as the ability to evangelize and drive new technology adoption.

Note to Applicant: This is a Data Platform Engineering position, not a Data Engineering position. You will be scaling, optimizing, and administering Databricks, Airflow, Kubernetes and other components. You will not be spending most of your time writing jobs or consuming the platform as a data engineer. 

Skills and Experience

Must Have:

• 3+ years of dedicated experience building and scaling data pipelines and data infrastructure 
• 2+ years of experience working with cloud-based infrastructure (we primarily use AWS and Databricks)
• Expertise in building and optimizing distributed data processing systems with Spark/PySpark

Hands-on experience developing and orchestrating workflows using Apache Airflow

• Strong programming skills in Python or a similar language
• Experience with containerization and deployment using Docker
• Working knowledge of OLAP and OLTP databases such as Clickhouse and Postgres
• Familiarity with security, controls, and access management for data systems
• Experience deploying and managing open-source frameworks like Kafka, Kubernetes, Terraform, and Helm
• Experience setting up observability and monitoring for data platforms like Datadog and  Prometheus 

Nice to Have:

• Exposure to MLOps concepts, tooling, and practices
• Background in building cost-efficient, scalable cloud-native solutions

Benefits:

• Total compensation ($140,000-170,000/annually)
• Equity compensation
• Health insurance coverage for you and your dependents
• 401K, FSA, and commuter benefits
• $150 monthly spending account
• $1,000 annual continued education benefit
• $500 WFH reimbursement
• Unlimited PTO and sick days
• Monthly Company Wellness Day Off
• Snacks, drinks, and catered lunches at the office
• Team building events 
• Hybrid RTO of 2 days per week. THIS IS AN IN-OFFICE POSITION

At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated..

#LI-HYBRID