# Staff Data Platform Engineer

**Company:** [Tatari](https://hotfix.jobs/companies/tatari)
**Location:** New York, NY, San Francisco, CA, Los Angeles, CA
**Role:** DevOps / SRE
**Salary:** $190k – $240k/yr
**Experience:** 7+ years
**Skills:** AWS, Airflow, Bash, Python, Spark, Pyspark, Kubernetes, Docker, Kafka, Flink, Terraform, Helm, Postgres, Redshift, Datadog
**Posted:** 2026-06-03

> As a Staff Data Platform Engineer, you will own the reliability, stability, and operational health of the data platform infrastructure. This role focuses on systems and infrastructure, ensuring proper deployment, monitoring, maintenance, and promotion across environments.

## Job Description

## Responsibilities

* Own the reliability and availability of our data platform infrastructure across all environments
* Enforce and improve environment promotion discipline — staging is not prod, and prod is sacred
* 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 — as a partner, not an order-taker
* Identify and remediate reliability risks before they become incidents
* Support customer-facing and internal systems with a bias toward stability over velocity

## Qualifications
The right candidate leans SRE. Data platform experience is additive — we will train the right person. Bullets marked with * are strongly preferred; all others are meaningful signal.

* Operational instinct — "the fear" — you've been burned by prod, you respect it, and you've built habits around it. You know what a proper maintenance window looks like, you communicate before you touch production, and you don't spin up new initiatives while something critical is still burning in.
* 3+ years in cloud infrastructure, SRE, or platform engineering (AWS preferred; GCP/Azure experience translates)
* 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)
* Distributed data processing (Spark, PySpark, or similar big data frameworks — or experience managing clusters that run them)
* Containerization and orchestration (Kubernetes, Docker, or similar)
* Data ingestion, ETL, or streaming systems (Kafka, Flink, or similar — or experience operating message queues and pipelines)
* Infrastructure-as-code and provisioning (Terraform, Helm, or similar)
* OLAP and OLTP databases (Clickhouse, Postgres, Redshift, or similar — query patterns, indexing, and operational care)
* Monitoring, logging, and observability (Datadog, Prometheus, Kibana, or similar)
* Managed data platforms (Databricks or similar — administering and scaling, not just consuming)
* Network infrastructure fundamentals: load balancers, DNS, auto-scaling, multi-region topologies, proxies
* Security and access management: least-privilege, secrets management, controls for data systems
* MLOps concepts or tooling — a plus

## What we value above technical skills
We are explicitly willing to trade depth in data tooling for the right operational character. Specifically:

* Humility — you don't know everything, you say so, and you ask before acting in unfamiliar territory
* Methodical execution — you minimize variables, you don't premature-optimize, you finish what you started before starting something new
* Communication — you tell the team what you're doing before you do it, especially in shared or production environments
* Ownership — when something goes wrong, you look inward first
* Independence – you can drive projects end-to-end, from ambiguous requirements to high quality deliverables. But you aren’t afraid to ask for help.

## Benefits:

* Total compensation ($190,000 - $240,000)
* 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 Newbie Productivity Perk
* Unlimited PTO and sick days
* Monthly Company Wellness Day Off
* Snacks, drinks, and catered lunches at the office
* Team building events

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