Data Platform Engineer
140k - 180k USD
Hybrid
Full Time
#Engineering
#Data Pipelines
#Cloud Infrastructure
#Python
#AWS
#Databricks
#Airflow
#Kafka
#Spark
#Kubernetes
#Terraform
We are Tatari, and we are transforming the TV advertising landscape by helping brands like Calm and Rocket Money scale through automated, data-driven media buying. As a Senior Data Platform Engineer, you will join our core team to design and scale the infrastructure that powers our analytics, data science, and engineering initiatives.
Responsibilities
- Build and scale the robust infrastructure that supports our entire data ecosystem.
- Establish industry-standard data engineering practices across the organization.
- Evaluate, introduce, and integrate new technologies to improve our current data stack.
- Collaborate with your team to ensure our systems are efficient, reliable, and capable of supporting our rapid growth.
- Drive the adoption of modern tools and advocate for technical improvements.
Must-haves
- At least 3 years of experience focused on building data pipelines and scaling data infrastructure.
- A minimum of 2 years of hands-on experience with cloud-based infrastructure, specifically AWS and Databricks.
- Strong proficiency in Python.
- Practical experience deploying and managing frameworks including Airflow, Kafka, Spark, Kubernetes, and Terraform.
- Comfort working with PySpark and a solid understanding of OLAP and OLTP databases like Postgres and Clickhouse.
- Experience implementing data security, access controls, and management protocols.
- Fluency in English.
Nice-to-haves
- Previous experience working within ML operations.
Benefits
The salary range for this position is $140,000 to $180,000 per year.
- Equity compensation packages.
- 401k retirement plans.
- Commuter benefits to support your travel.
- Annual learning budget for your professional development.
- Unlimited vacation policy.
- Flexible hybrid work environment with work from home options.



