Data Engineer Lead - Databricks

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

🚀 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

- 📊 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 (https://blog.muttdata.ai/tag/Case%20Studies/1) case studies and dive into ourblog post (https://blog.muttdata.ai/) to learn more about our culture and the exciting projects we’re working on! 🚀

Responsibilities 🤓

- 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 💻

- 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! 🏖️)

- 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.

- 👶 Monthly Childcare Reimbursement – Because supporting families matters too