---
title: 'Senior Data Platform Engineer at Tatari'
canonical: 'https://feeny.ai/job/senior-data-platform-engineer-tatari-san-francisco-california-2r3tn1ke439b'
type: 'job'
last_seen: '2026-09-05'
---

# Senior Data Platform Engineer at Tatari

- **Company:** Tatari
- **Location:** San Francisco California, United States
- **Posted:** 2026-06-03
- **Last confirmed live:** 2026-09-05
- **Apply:** https://job-boards.greenhouse.io/tatari/jobs/8574224002

## Job description

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world’s fastest growing brands including Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V., reach their customers 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, enabling businesses of any size to advertise on TV.

That approach has earned Tatari broad industry recognition, including being named [Best CTV AdTech Platform](https://www.tatari.tv/insights/tatari-named-best-ctv-adtech-platform-in-2025-martech-breakthrough-awards) in the 8th annual MarTech Breakthrough Awards, as well as honors from Digiday (https://www.tatari.tv/insights/tatari-awarded-best-ctv-ad-platform, AdExchanger ([Most Innovative TV Advertising Technology](https://www.tatari.tv/insights/tatari-wins-adexchangers-2023-most-innovative-tv-advertising-technology-award)), and Business Insider (https://www.tatari.tv/insights/business-insider-names-Tatari-a-2023-hottest-adtech-company. Tatari has also been recognized as the [Best Place to Work](https://www.tatari.tv/insights/inc-magazine-names-tatari-a-best-workplace-for-the-3rd-year-in-a-row) 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.

This is a systems and infrastructure position first. As a Data Platform Engineer, you will be responsible for the reliability, stability, and operational health of our data platform — including how it is deployed, monitored, maintained, and promoted across environments. Data engineering skills are a plus and will be developed on the job; what we cannot teach is operational discipline.

If you have spent your career keeping production systems alive, know what it feels like to break prod and never want to do it again, and treat lower environments as non-negotiable gates rather than suggestions — we want to talk to you.

This is not a data engineering role. You will not spend most of your time writing jobs or consuming the platform. You will be administering, scaling, hardening, and evolving it.

## 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
- Hybrid RTO of 2 days per week in office.

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

## About Tatari

## Company Overview
- **One-liner**: Tatari builds infrastructure to modernize TV advertising, providing a convergent TV ad platform for buying and measuring campaigns across streaming TV, linear TV, and online video.
- **Entity Type**: Private
- **Headquarters**: San Francisco, California, United States
- **Founded**: Year not explicitly stated on primary sources; executive bios indicate it was founded in the mid-2010s.
- **Founders**: Philip Inghelbrecht (CEO, Co-Founder) and Mike Swinson (Co-Founder, Chief Data Scientist)

## Core Business
- **Primary Industry**: Advertising Technology (AdTech) — specifically TV advertising and data analytics.
- **Target Customers**: B2B — brands, agencies, and publishers. Serves everyone from first-time TV advertisers to those spending $100M+ per year.
- **Mission/Purpose**: To bring automation, control, and transparency to TV advertising, providing a "clear way forward" as TV and digital converge.

## Products & Services
- **Tatari Platform (Self-Serve)**: A unified platform for planning, buying, and measuring TV ad campaigns across linear and streaming TV. Includes optional strategy and managed services.
- **Vault Data Clean Room**: A technology for secure data collaboration between advertisers and publishers.
- **TheViewPoint**: A measurement and analytics tool for evaluating TV advertising performance.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric (Funding)**: Total funding is not explicitly stated in the provided sources. The company is private and has raised venture capital (notable investors include those tied to founders' previous ventures).
- **Notable Investors/Partners**: Not explicitly listed in the provided sources. However, the executive team includes former leaders from Shazam, TrueCar, AdapTV, LiveRail, LKQD, Remixation, Amazon, Google, Facebook, Microsoft, Stripe, and Yahoo.
- **Growth Signals**: Actively hiring across multiple departments (52 open jobs as of the search date), with offices in San Francisco, Los Angeles, New York, Poland, and Ukraine. The company has built technology for both the buy-side and sell-side of TV advertising, indicating platform expansion.

## Competitive Advantages
- **Convergent TV Focus**: Tatari is a dedicated platform for both linear and streaming TV, a niche that is growing rapidly as TV advertising converges with digital.
- **Data Science Core**: Founded and led by data scientists and engineers (not traditional agency folks), giving it a strong technical and analytical moat.
- **Self-Service + Managed Service**: Offers both a self-serve platform for sophisticated buyers and a full-service option for those needing more support, covering a wide market segment.

## Strategic Focus
- **Platform Expansion**: Building infrastructure for both advertisers (buy-side) and publishers (sell-side), moving beyond just a buying tool to a full ecosystem.
- **Data Collaboration**: Development of data clean rooms (Vault) to enable secure, privacy-compliant data sharing.
- **Measurement & Attribution**: Continued investment in analytics and measurement tools to prove TV advertising ROI.

## Why Work Here
- **Culture**: Described as fast-paced, intellectually stimulating, and supportive. The company emphasizes a "learn from mistakes" attitude and values diverse perspectives. They have employee resource groups, volunteer events, and social activities.
- **Work Model**: Hybrid in-office + work-from-home schedule. Offices in San Francisco, Los Angeles, New York, Poland, and Ukraine.
- **Engineering Focus**: The team is heavily weighted toward engineers and data scientists. The engineering culture is described as building solutions to mission-critical problems with a lean, fast-moving approach.
- **Perks**: Inclusive culture with events, book clubs, meditation classes, and family activities.

## Sources
1. [tatari.tv - Company Homepage](https://www.tatari.tv/)
2. [tatari.tv - About Page](https://www.tatari.tv/about-tv-ad-technology-company)
3. [tatari.tv - Team Page](https://www.tatari.tv/about-us/our-team)
4. [tatari.tv - Careers Page](https://www.tatari.tv/careers)
5. [Greenhouse - Tatari Job Board](https://job-boards.greenhouse.io/tatari/jobs/8403003002)

## Other roles at Tatari

- [Programmatic Media Manager](https://feeny.ai/job/programmatic-media-manager-tatari-san-francisco-california-6zws8dxnemgv) — San Francisco California, United States
- [Programmatic Media Manager](https://feeny.ai/job/programmatic-media-manager-tatari-new-york-new-york-wcp8ct49x18c) — New York New York, United States
- [Programmatic Media Manager](https://feeny.ai/job/programmatic-media-manager-tatari-los-angeles-california-yry811q2zqy3) — Los Angeles California, United States
- [Senior Product Manager - Upstream](https://feeny.ai/job/senior-product-manager-upstream-tatari-poland-ukraine-cwnkpcs8f5mh) — Poland / Ukraine
- [Senior SRE (Ukraine, Poland)](https://feeny.ai/job/senior-sre-ukraine-poland-tatari-poland-ukraine-hhh0ev7vd4rb) — Poland / Ukraine
- [Senior Solutions Engineer](https://feeny.ai/job/senior-solutions-engineer-tatari-los-angeles-california-awv2we4kx99c) — Los Angeles California, United States
- [Senior Solutions Engineer](https://feeny.ai/job/senior-solutions-engineer-tatari-san-francisco-california-65yaewwym0sn) — San Francisco California, United States
- [Senior Software Engineer, Internal Tools & Automation](https://feeny.ai/job/senior-software-engineer-internal-tools-automation-tatari-san-francisco-qxd8w36zj9md) — San Francisco California, United States
- [Senior Software Engineer, Internal Tools & Automation](https://feeny.ai/job/senior-software-engineer-internal-tools-automation-tatari-new-york-new-york-cqkxzwnapdg6) — New York New York, United States
- [Senior Software Engineer, Internal Tools & Automation](https://feeny.ai/job/senior-software-engineer-internal-tools-automation-tatari-los-angeles-california-8625e7pcvgem) — Los Angeles California, United States