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Senior Data Architect

Job in Austin, Travis County, Texas, 78716, USA
Listing for: 2K
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

THIS IS AN ONSITE POSITION in Austin, TX

2K is headquartered in Novato, California and is a wholly owned label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO). Founded in 2005, 2K Games is a global video game company, publishing titles developed by some of the most influential game development studios in the world. Our studios responsible for developing 2K’s portfolio of world-class games across multiple platforms, include Visual Concepts, Firaxis, Hangar 13, Cat Daddy, Cloud Chamber, 31st Union, HB Studios, and 2K Sports Lab.

Our portfolio of titles is expanding due to our global strategic plan, building and acquiring exciting studios whose content continues to inspire all of us! 2K publishes titles in today’s most popular gaming genres, including sports, shooters, action, role-playing, strategy, casual, and family entertainment.

Our team of engineers, marketers, artists, writers, data scientists, producers, thinkers and doers, are the professional publishing stewards of 2K’s portfolio currently includes several AAA, sports and entertainment brands, including global powerhouse NBA®️ 2K, renowned Bio Shock®️, Borderlands®️, Mafia, Sid Meier’s Civilization®️ and XCOM®️ brands; popular WWE®️ 2K and WWE®️ Super Card franchises, Top Spin 2K25, as well as the critically and commercially acclaimed PGA TOUR®️ 2K.

At 2K, we pride ourselves on creating an inclusive work environment, which means encouraging our teams to Come as You Are and do your best work! We encourage ALL applicants to explore our global positions, even if they don’t meet every requirement for the role. If you're interested in the job and think you have what it takes to work at 2K, we encourage you to apply!

What you need
  • 7+ years working with data governance platforms (Collibra, Informatica Axon, Data Hub) and enterprise governance operating models.
  • 5+ years designing data architectures and data models for analytics/ML.
  • Proven experience delivering data quality, lineage, and metadata management at scale.
  • Bachelor’s or Master’s in Engineering, Computer Science, Mathematics, or related field.
  • Strong Python skills, including structured project design and APIs/services with Flask.
  • Expert SQL across Snowflake and Databricks.
  • Hands-on experience with big data and orchestration tools (Hive, Spark, Airflow).
  • Streaming technologies experience (Kafka or Kinesis).
  • Practical Databricks capabilities (Unity Catalog, Delta Lake, MLflow) and solid MLOps practices (CI/CD, model registry, monitoring).
  • Cloud experience across AWS/Azure/GCP, with strong AWS exposure preferred.
  • Robust automated testing for data pipelines (unit/integration).
  • Strong knowledge of privacy, regulatory, and audit frameworks (GDPR, CCPA, COPPA, SOX).
  • Experience in regulated/high-compliance industries (Gaming, Finance, Healthcare).
  • Excellent stakeholder management, problem-solving, and cross-functional communication with the ability to influence without authority.
What you will do
  • Evolve our lakehouse/analytics reference architecture across AWS, Snowflake, and Databricks (Delta Lake, Unity Catalog) for scale, cost, and reliability.
  • Standardize Databricks work spaces—cluster policies, repos/CI/CD, secrets, cost guardrails, and operational SLAs.
  • Implement MLOps with MLflow, a feature store, versioned data/code, automated CI/CD, and model promotion/rollback across environments.
  • Enforce security-by-default—IAM/SSO, RBAC, encryption, tokenization, and PII protection across platforms.
  • Build reliable ingestion, transformation, and services (Python/Flask, Spark, Airflow/Databricks Jobs) with tests, observability, and SLAs.
  • Integrate data/ML platforms with game analytics, CDP, personalization, and real-time streams via Kafka/Kinesis; coach teams on best practices.

Data Trust & Governance

  • Establish enterprise policies, standards, ownership/stewardship, and decision forums; drive adoption through enablement and training.
  • Define classification, retention, and lifecycle; enforce RBAC and encryption for sensitive player data.
  • Operate metadata and catalog (Data Hub/Atlan/Informatica) to deliver end‑to‑end lineage, impact analysis, and discoverability.
    Align key metrics, definitions, and a central glossary across…
Position Requirements
10+ Years work experience
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