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Data Engineer Lead - Databricks

muttdata Β· Argentina

RemoteImported listingfull-time3 days ago

About The Role

πŸš€ **Join Our Data Products and Machine Learning Development Remote Startup!** πŸš€
Muttdata is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.
We’re looking for a **Data Engineer Lead** 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](https://blog.muttdata.ai/tag/Case%20Studies/1) case studies and dive into our [blog post](https://blog.muttdata.ai/) to learn more about our culture and the exciting projects we’re working on! πŸš€

### Responsibilities πŸ€“

  • Lead end-to-end data migration initiatives, ensuring a smooth, secure, and business-aligned transition.
  • Define and communicate data architecture decisions, evaluating impacts, risks, and performance considerations across cloud data platforms such as AWS Redshift, Databricks, and related technologies.
  • Coordinate the discovery and documentation of dependencies, schema inventories, data flows, and critical processes involved in migration efforts.
  • Own migration and cutover planning, ensuring all activities, validations, and contingency measures are properly defined and executed.
  • Serve as the primary liaison between engineering, analytics, product, and business stakeholders, facilitating clear communication and alignment throughout the project lifecycle.
  • Translate technical changes in data pipelines, data warehouses, and platform architecture into clear business impact assessments.
  • Define and document assumptions, requirements, and acceptance criteria to ensure successful migration outcomes.
  • Oversee data validation processes to guarantee the accuracy, consistency, and integrity of migrated datasets against source-of-truth systems.
  • Proactively identify, assess, and mitigate migration-related risks, escalating blockers and dependencies when necessary to maintain project timelines and quality standards.
  • Drive problem-solving and decision-making in fast-paced, ambiguous environments, helping cross-functional teams stay focused on priorities and deliverables.
  • Create, maintain, and improve project documentation, including migration runbooks, testing strategies, rollback plans, and operational procedures.
  • Provide regular project status updates to technical and executive stakeholders, ensuring transparency around progress, risks, and next steps.
  • Promote data governance, quality, and operational best practices throughout the migration lifecycle.
  • Align engineers, analysts, and product stakeholders around priorities, timelines, and delivery expectations to ensure successful project execution.

### Required Skills πŸ’»

  • Experience in Data Engineering, including building and optimizing data pipelines.
  • Experience working with Databricks, Python, and Spark, building batch and streaming.
  • Advanced English Level.
  • Familiarity with a BI visualization tool like Looker or Tableau.

### 🎁 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](https://maslow.hr/):** Monthly credits to spend in our benefits marketplace.
  • ✈️**🏝️ [Annual Mutters' Trip](https://www.youtube.com/watch?v=dq1x2krHGb8&t=2s)** – an unforgettable getaway with the team.
  • **πŸ‘Ά Monthly Childcare Reimbursement** – Because supporting families matters too

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