2 months ago
Buenos Aires, ArgentinaStaff+
Responsibilities
- Lead end-to-end data migration initiatives and ensure secure, business-aligned transitions.
- Define and communicate data architecture decisions across AWS Redshift, Databricks, and related cloud data platforms.
- Coordinate discovery and documentation of dependencies, schema inventories, data flows, and critical migration processes.
- Own migration, cutover, validation, contingency, rollback, and operational planning.
- Act as the primary liaison among engineering, analytics, product, and business stakeholders.
- Translate changes to data pipelines, warehouses, and platform architecture into business impact assessments.
- Define assumptions, requirements, and acceptance criteria for migration outcomes.
- Oversee validation of migrated datasets for accuracy, consistency, and integrity.
- Identify and mitigate migration risks, blockers, and dependencies.
- Maintain migration runbooks, testing strategies, rollback plans, project documentation, and operational procedures.
- Provide project status updates to technical and executive stakeholders.
- Promote data governance, data quality, and operational best practices throughout migrations.
- Align engineers, analysts, and product stakeholders on priorities, timelines, and delivery expectations.
Requirements
- Experience in data engineering, including building and optimizing data pipelines.
- Experience with Databricks, Python, and Spark for batch and streaming workloads.
- Advanced English proficiency.
- Familiarity with a BI visualization tool such as Looker or Tableau.
Benefits
- Remote-first culture with work-from-anywhere flexibility.
- AWS, DBT, Google Cloud, Azure, and Databricks certifications fully covered.
- In-company English lessons.
- Birthday off and an extra vacation week.
- Referral bonuses.
- Monthly Maslow credits for the benefits marketplace.
- Annual team trip.
- Monthly childcare reimbursement.
Tech Stack
Categories
Data Engineering
About Muttdata
Muttdata provides consulting and delivery of custom machine-learning and AI systems, data platforms, and big-data pipelines for digital-native startups and enterprises. The privately held company, founded in 2017 and headquartered in Buenos Aires, is an AWS Advanced Consulting Partner with the AWS Advertising and Marketing Technologies Competency. Notable customers include Mercado Libre, Coca-Cola FEMSA Mexico, ClassDojo, and PayClip.