Lead Data Engineer – Databricks

Job not on LinkedIn

🔥 16 hours ago

🇦🇷 Argentina – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 16%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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MUTT DATA

WebsiteLinkedInAll Job Openings

51 - 200 employees

📣 Marketing

🛡️ Insurance

📦 Logistics

Marketing • Insurance • Logistics

MUTT DATA is a consulting firm that specializes in leveraging AI and machine learning to create automated systems that drive revenue for their clients. They offer solutions in sectors such as Adtech, Martech, Fintech, and Telecommunication, focusing on optimizing advertising platforms, enhancing data-driven marketing strategies, and providing real-time insights in financial and telecommunications networks. MUTT DATA provides expert team augmentation, seamless integration of data architectures in the cloud, and tailor-made solutions to refine product strategies. Their services include implementing modern data stacks, marketing mix modeling, and generative AI. MUTT DATA partners with leading companies like Amazon Web Services, Google Cloud, and others to deliver advanced data and AI solutions. They are recognized in LATAM for their AWS competencies and expertise in data science and MLOps, ensuring robust, scalable, and cost-effective data systems for their clients.

📋 Description

• Lead end-to-end data migration initiatives, ensuring a smooth, secure, and business-aligned transition • Define and communicate data architecture decisions across cloud data platforms such as AWS Redshift, Databricks, and related technologies • Coordinate discovery and documentation of dependencies, schema inventories, data flows, and critical migration processes • Own migration and cutover planning, including validations and contingency measures • Serve as primary liaison between engineering, analytics, product, and business stakeholders • Translate technical changes into clear business impact assessments • Define and document assumptions, requirements, and acceptance criteria • Oversee validation of migrated datasets for accuracy, consistency, and integrity • Identify, assess, and mitigate migration-related risks and escalate blockers and dependencies • Drive problem-solving and decision-making in fast-paced, ambiguous environments • Create and maintain migration runbooks, testing strategies, rollback plans, and operational procedures • Provide project status updates to technical and executive stakeholders • Promote data governance, quality, and operational best practices • Align engineers, analysts, and product stakeholders around priorities, timelines, and delivery expectations

🎯 Requirements

• 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

🏖️ Benefits

• 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 • Maslow: Monthly credits to spend in our benefits marketplace • Annual Mutters' Trip • Monthly Childcare Reimbursement