Senior Databricks Architect

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OtherDatabricks Architect

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Requirements Summary

AWS, Azure, or GCP. Hands-on experience with CI/CD and Databricks Asset Bundles (DABs). Strong knowledge of Databricks performance tuning and scalability. Knowledge of GenAI, RAG, Databricks Genie,

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OtherDatabricks Architect

🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀

Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.

We’re looking for a Senior Databricks Architect to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect! 🐶🚀

Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.

Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.

Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.

Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.

Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.

Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.

Amazon Web Services

Astronomer

Databricks

📊 We are Data Nerds

🤗 We are Open Team Players

🚀 We Take Ownership

🌟 We Have a Positive Mindset

🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀

Design and implement enterprise data solutions using Databricks.

Lead end-to-end Databricks projects, including migrations from legacy platforms.

Design and optimize solutions using Apache Spark, with a strong focus on performance and scalability.

Work closely with Databricks Professional Services teams and clients to define and deliver technical solutions.

Implement CI/CD practices and Databricks Asset Bundles (DABs).

Troubleshoot complex technical challenges and provide scalable, high-quality solutions.

Contribute to Data Engineering, Lakehouse, and data platform modernization initiatives.

7+ years of experience in Data Engineering, Data Platforms, or Analytics.

10+ years of total professional experience.

Proven experience delivering 4–6+ end-to-end Databricks projects in production.

Databricks Certification is mandatory (non-negotiable). Databricks Associate is the minimum requirement; Professional certification is strongly preferred.

Strong hands-on expertise with Apache Spark, including internals, window functions, aggregations, and clustering.

Proven experience with legacy-to-Databricks migrations.

Deep expertise in at least one cloud platform: AWS, Azure, or GCP.

Hands-on experience with CI/CD and Databricks Asset Bundles (DABs).

Strong knowledge of Databricks performance tuning and scalability.

Knowledge of GenAI, RAG, Databricks Genie, or Databricks Apps is a plus.

English proficiency and availability to work with US time zone overlap.

Remote-first culture – work from anywhere! 🌍

AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered

In-Company English Lessons.

Birthday off + an extra vacation week (Mutt Week! 🏖️)

Referral bonuses – help us grow the team & get rewarded!