Data Engineer Lead - Databricks

Muttdata
Argentina
Remote

Who this role is best for

Strong fit for data engineering leaders who coordinate cross-functional teams and lead complex cloud migration projects.

Best fit for

  • Candidates with experience leading end-to-end data migrations and cross-functional collaboration
    β€” β€œServe as the primary liaison between engineering, analytics, product, and business stakeholders”
  • Individuals who can translate technical data pipeline changes into business assessments
    β€” β€œTranslate technical changes in data pipelines, data warehouses, and platform architecture into clear business imp”
  • Professionals with a background in cloud data platforms like Databricks and AWS
    β€” β€œDefine and communicate data architecture decisions, evaluating impacts, risks, and performance considerations across cloud data platforms such as AWS Redshift, Databricks”

Things to consider

  • The role requires a high level of English proficiency for communication and documentation
    β€” β€œAdvanced English Level”
  • There is an expectation to travel for team events, despite the remote-first culture
    β€” β€œAnnual Mutters' Trip – an unforgettable getaway with the team”

How to stand out

  • Showcase expertise in Databricks, Spark, and cloud data platforms like AWS Redshift
    β€” β€œExperience working with Databricks, Python, and Spark, building batch and streaming”
  • Emphasize skills in defining data architecture decisions and managing risks
    β€” β€œDefine and communicate data architecture decisions, evaluating impacts, risks, and performance considerations”
  • Demonstrate experience in documenting migration processes and operational procedures
    β€” β€œCreate, maintain, and improve project documentation, including migration runbooks, testing strategies”
  • Demonstrate ability to deliver accurate data validation and maintain dataset integrity
    β€” β€œOversee data validation processes to guarantee the accuracy, consistency, and integrity of migrated datasets”
Pace Β· SteadyCollaboration Β· HighAutonomy Β· MediumDecision Impact Β· Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • leads end-to-end data migration initiatives
  • defines and communicates data architecture decisions
  • oversees data validation processes
Typical background
experience in data engineeringknowledge of cloud data platforms

Skills & requirements

Required

Data MigrationCloud Data PlatformsData ValidationData GovernanceData Architecture

Preferred

Data WarehousingData PipelinesData Quality

Stack & domain

Aws RedshiftDatabricksAWSBig DataMachine Learning

About the role

Original posting from Muttdata via Lever

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 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€“:

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: Monthly credits to spend in our benefits marketplace.
  • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team.
  • πŸ‘Ά Monthly Childcare ReimbursementΒ  – Because supporting families matters too

Source: Muttdata careers (Lever)

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