Data Engineering Manager, Databricks

🔥 0 minutes ago

🇨🇱 Chile – 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 • Underpin governed executive scorecards and AI-powered analytical solutions • Work with business owners to define, validate, and translate KPI requirements into reusable data models and business logic • 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 across data assets • Implement security, access control, and governance practices aligned with platform and AI governance standards • Lead technical documentation and knowledge transfer initiatives at the conclusion of each delivery phase • Support production readiness assessments and oversee deployment 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 for data processing, transformation, and pipeline development • 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 how data engineering supports AI/LLM-based analytics, including feature preparation for narrative generation and conversational analytics • Experience with FMCG/CPG or retail data ecosystems (POS, SKU, category, and market performance datasets) is a plus • English: Advanced (required for effective communication with global teams)

🏖️ Benefits

• Certifications in AWS (we are AWS Partners), Databricks, and Snowflake • Access to AI learning paths to stay up to date with the latest technologies • Study plans, courses, and additional certifications tailored to your role • Access to Udemy Business, offering thousands of courses to boost your technical and soft skills • English lessons to support your professional communication • Travel opportunities to attend industry conferences and meet clients • Career development plans and mentorship programs • Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones • Company-provided equipment • Flexible working options • Other benefits may vary according to your location in LATAM