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About the Role

As a Data Platform Engineer, you will be responsible for the reliability, stability, and operational health of our data platform, including its deployment, monitoring, maintenance, and promotion across environments. This is a systems and infrastructure-focused role, with data engineering skills being a plus and developed on the job.

Responsibilities

• Own the reliability and availability of our data platform infrastructure across all environments
• Enforce and improve environment promotion discipline
• Define and uphold SOPs around deployments, maintenance windows, and change management
• Instrument and monitor platform health using observability tooling; build alerting that means something
• Participate in architecture and deployment discussions; push back when something isn't ready
• Collaborate with data scientists, engineers, and product managers on infrastructure needs
• Identify and remediate reliability risks before they become incidents
• Support customer-facing and internal systems with a bias toward stability over velocity

Requirements

• Operational instinct and respect for production environments
• 3+ years in cloud infrastructure, SRE, or platform engineering (AWS preferred; GCP/Azure experience translates)
• Experience with High Availability architecture (blue/green deployments, data replication, load balancing)
• Experience with workflow orchestration (Airflow or similar DAG-based schedulers, or general job scheduling/cron systems at scale)
• Strong Linux fundamentals and scripting (Bash, Python, or similar)
• Experience with Distributed data processing (Spark, PySpark, or similar big data frameworks, or experience managing clusters that run them)
• Experience with Containerization and orchestration (Kubernetes, Docker, or similar)
• Experience with Data ingestion, ETL, or streaming systems (Kafka, Flink, or similar, or experience operating message queues and pipelines)
• Experience with Infrastructure-as-code and provisioning (Terraform, Helm, or similar)
• Experience with OLAP and OLTP databases (Clickhouse, Postgres, Redshift, or similar)
• Experience with Monitoring, logging, and observability (Datadog, Prometheus, Kibana, or similar)
• Experience with Managed data platforms (Databricks or similar)
• Experience with Network infrastructure fundamentals (load balancers, DNS, auto-scaling, multi-region topologies, proxies)
• Experience with Security and access management (least-privilege, secrets management, controls for data systems)
• MLOps concepts or tooling is a plus
• Humility
• Methodical execution
• Strong communication skills
• Ownership mentality
• Independence in driving projects end-to-end

Skills

• Data Platform Engineering
• Cloud Infrastructure
• SRE
• AWS
• GCP
• Azure
• High Availability Architecture
• Blue/Green Deployments
• Data Replication
• Load Balancing
• Workflow Orchestration
• Airflow
• DAG-based Schedulers
• Job Scheduling
• Cron Systems
• Linux
• Bash Scripting
• Python Scripting
• Distributed Data Processing
• Spark
• PySpark
• Big Data Frameworks
• Cluster Management
• Containerization
• Kubernetes
• Docker
• Data Ingestion
• ETL
• Streaming Systems
• Kafka
• Flink
• Message Queues
• Pipelines
• Infrastructure-as-Code
• Terraform
• Helm
• OLAP Databases
• OLTP Databases
• Clickhouse
• Postgres
• Redshift
• Monitoring
• Logging
• Observability
• Datadog
• Prometheus
• Kibana
• Managed Data Platforms
• Databricks
• Network Infrastructure
• DNS
• Auto-scaling
• Multi-region Topologies
• Proxies
• Security
• Access Management
• Least-Privilege
• Secrets Management
• MLOps

Location

• Hybrid

Work Type

• Hybrid
• Full-time

Experience Level

• 3+ years

Salary/Compensations

• $190,000 - $240,000

Benefits

• Equity compensation
• Health insurance coverage for you and your dependents
• 401K
• FSA
• Commuter benefits
• $150 monthly spending account
• $1,000 annual continued education benefit
• $500 Newbie Productivity Perk
• Unlimited PTO and sick days
• Monthly Company Wellness Day Off
• Snacks, drinks, and catered lunches at the office
• Team building events

About the Company

• Tatari is on a mission to revolutionize TV advertising by transforming the antiquated world of TV advertising through the intelligent application of AI and machine learning.
• Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV.
• Tatari has earned broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual MarTech Breakthrough Awards, as well as honors from Digiday, AdExchanger, and Business Insider.
• Tatari has also been recognized as the Best Place to Work by Inc. Magazine.
• Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era.

Equal Opportunity

• 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.