Data Engineering Manager, Databricks

🔥 0 minutes ago

🇦🇷 Argentina – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

👮‍♀️ Software Engineering Manager

👻 Ghost score 19%

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Blend360

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏥 Healthcare

🏨 Hospitality

✈️ Travel

💰 $100M Private Equity Round on 2022-08

Healthcare • Hospitality • Travel

Blend360 is a professional services company specializing in AI, data analytics, and data-driven solutions. They work with Fortune 1000 and large enterprise brands to tackle significant challenges by integrating people and artificial intelligence. Blend360 focuses on several domains including business intelligence, data engineering, data science, MLOps, and data governance. Their industries of expertise encompass financial services, energy, healthcare and life sciences, retail, technology, media & telecom, and travel & hospitality. Blend360 is recognized for their AI and data solutions, having earned accolades such as "AI-Enabling Solution of the Year" and being listed among the "Top Generative AI Service Providers 2024.

📋 Description

• Design, build, and maintain semantic layers and KPI models using Databricks Metric Views • Define, validate, and translate KPI requirements into reusable data models and business logic with business owners • Profile source data quality, ownership, data grain, and reconciliation requirements across enterprise source systems • Design and implement data integration and transformation pipelines for AI-generated narratives and conversational analytics • Define conformed dimensions and market-specific data variations for multi-market reporting and analytics • Collaborate with Business Analysts and AI Engineers to align KPI definitions with data structures and business ontologies • Establish and enforce data quality, validation, and monitoring frameworks • Implement security, access control, and governance practices • Lead technical documentation and knowledge transfer at the conclusion of delivery phases • Support production readiness assessments and oversee solution deployments to production environments

🎯 Requirements

• 7+ years of experience in Data Engineering or related disciplines such as Data Architecture or Analytics Engineering • Demonstrated expertise in semantic layer and KPI/metric modeling • Strong hands-on experience building and maintaining Databricks Metric Views or equivalent semantic/metric layer tooling • Advanced proficiency in SQL and Python • Solid understanding of cloud data platforms, specifically Azure Databricks, and modern ELT/ETL tooling • Demonstrated expertise in data modeling techniques, conformed dimensions, and Medallion-style architectures • Experience profiling data quality, lineage, and reconciliation across multiple source systems • Comfort working directly with business stakeholders to gather, validate, and implement KPI requirements • Understanding of business ontology and semantic modeling concepts • Proficiency with Git version control and collaborative development practices • Knowledge of data engineering for AI/LLM-based analytics, including feature preparation for narrative generation and conversational analytics • Experience with FMCG/CPG or retail data ecosystems is a plus • Advanced English required for effective communication with global teams

🏖️ Benefits

• Certifications in AWS, Databricks, and Snowflake • Access to AI learning paths • Study plans, courses, and additional certifications tailored to your role • Access to Udemy Business • English lessons • Travel opportunities to attend industry conferences and meet clients • Career development plans and mentorship programs • Special day rewards for birthdays, work anniversaries, and other personal milestones • Company-provided equipment • Flexible working options • Other benefits may vary according to your location in LATAM