Lead Data Engineer – Databricks & ML Systems

Muttdata; Argentina; A distancia; ARS 120.729.000 - 166.003.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote-first culture

In-Company English Lessons

Birthday off + Mutt Week vacation

Referral bonuses

Maslow benefits marketplace credits

Annual Mutters' Trip

Monthly childcare reimbursement

Descripción de la vacante

Muttdata is seeking a Data Engineer Lead to steer end-to-end data migration projects, define data architecture across AWS/Databricks environments, and coordinate cross-functional teams in a remote-first setup.

You will own data flows, validate datasets against source systems, and promote governance and best practices while collaborating with analytics, product, and engineering to deliver scalable data solutions.

Formación

• 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.
• Remote-first culture and cloud certifications supported.

Responsabilidades

• 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.

Conocimientos

Data engineering

Batch & streaming pipelines

Python

Spark

Advanced English

BI tools

Herramientas

Databricks

Looker/Tableau

AWS

DBT

Google Cloud

Azure

Descripción del empleo

Muttdata is seeking a Data Engineer Lead to steer end-to-end data migration projects, define data architecture across AWS/Databricks environments, and coordinate cross-functional teams in a remote-first setup.

You will own data flows, validate datasets against source systems, and promote governance and best practices while collaborating with analytics, product, and engineering to deliver scalable data solutions.