Logo for MUTT DATA

Senior Databricks Architect

Role overview

Qualifications

  • 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).

Responsibilities

  • 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.

Key facts

  • Remote from: Latin America
  • Full time
  • Senior (5-10 years)
  • English

Other skills

  • Problem Solving
  • Teamwork
  • Communication

About the company

MUTT DATA logo

MUTT DATA

Artificial Intelligence & Machine Learning Services

Mutt Data is a technology company that helps startups and big companies build and implement Machine Learning solutions that drive real business results. Whether you work in finance, insurance, advertising, telcos, on-demand services or e-commerce, our solutions will help you get ahead of your competition with the latest technologies, techniques and best practices We Are Astronomer & Amazon Consulting Partners. We Are #DataNerds.

Company details

Company typeScaleup
IndustryArtificial Intelligence & Machine Learning Services
Company size51 - 200

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

πŸš€ Join Our Data Products and Machine Learning Development Remote Startup! πŸš€
 
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! πŸΆπŸš€

πŸš€ What We Do
  • 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.


  • 🌟 Our Partnerships
  • Amazon Web Services
  • Astronomer
  • Databricks

  • 🌟 Our Values
  • πŸ“Š We are Data Nerds
  • πŸ€— We are Open Team Players
  • πŸš€ We Take Ownership
  • 🌟 We Have a Positive Mindset
  •  
    πŸ” 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! πŸš€

    Responsibilities πŸ€“
  • 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.

  • Required Skills πŸ’»
  • 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.

  • 🎁 Perks
  • 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! πŸ–οΈ)
  • Referral bonuses – help us grow the team & get rewarded!
  • Maslow: Monthly credits to spend in our benefits marketplace.
  • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
  • πŸ‘Ά Monthly Childcare Reimbursement  – Because supporting families matters too
  • Apply once. Then go straight to the hiring manager.

    After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

    MR

    Marcus Rivera

    Chief Revenue Officer

    m.rivera@company.com
    linkedin.com/in/marcusrivera
    Unlocked after you apply
    Β·

    Related jobs

    Other jobs at MUTT DATA

    Premium

    Reach out to the hiring manager directly.

    Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

    • Full match report with fit score and gaps
    • Career diagnostics on how recruiters read you
    • Curated company matches and warm intros
    • 48h early access to new roles

    Cancel anytime.