Data Engineering Manager

🔥 0 minutes ago

🇺🇾 Uruguay – 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

• Lead the design and delivery of complex data pipelines and integration solutions for critical client business workflows • Own end-to-end data engineering initiatives from discovery and requirements through POC development, production deployment, and optimization • Build, scale, and mentor a high-performing engineering team • Design and implement data ingestion architectures on Snowflake • Design platform-agnostic data pipelines and schemas for high-volume workloads • Develop data models for submit-grade-return workflows, identity graphs, record matching, and deduplication systems • Own discovery pipeline initiatives and functional POCs • Implement high-volume matching logic • Conduct performance, load, and scale testing to validate architectural decisions • Optimize latency, throughput, connection stability, and integration options • Assess APIs, batch delivery, and governed clean-room workflows • Define data integration strategies and communicate tradeoffs to clients • Guide infrastructure and tool selection based on performance requirements and business constraints • Lead partner-facing API design and integration strategy • Architect batch-versus-real-time decisions and governed clean-room solutions for partner data exchange • Establish technical standards for schema design, SQL quality, pipeline development, and production readiness through reviews, mentoring, and knowledge sharing

🎯 Requirements

• 7+ years of hands-on data engineering experience in production environments • 2+ years of direct team leadership or technical management experience • Advanced SQL proficiency • Deep expertise in schema and data-model design, complex joins, and performance optimization • Proven experience with high-volume record matching, deduplication, and identity resolution systems • Experience with platform-agnostic data engineering across Snowflake, Databricks, BigQuery, Redshift, and other platforms • Expertise in pipeline development, performance testing, latency and throughput analysis • Experience designing and implementing batch and real-time data integration workflows • Knowledge of governed clean-room solutions and data governance practices • Understanding of API design, microservices patterns, and event-driven architectures • Clear communication with engineering teams and senior stakeholders • Proven mentoring experience and strong hiring and team-building abilities • English at an advanced level, required for communication with global teams and client leadership

🏖️ Benefits

• Every day lunches at headquarters, including vegetarian, vegan, gluten-free, and sugar-free options • Gourmet meals every Friday with an on-site chef • Flexible working options • MacBook and accessories • Snacks and beverages available every day at headquarters • After-office events, football, tennis, and game nights at headquarters • Football league participation • Pool games and office trophy competitions • Tennis courts • Chess championships, game nights, and music nights • AWS certifications, study plans, courses, and other certifications • English lessons • Tech Tuesdays peer-learning opportunities • Mentoring and development opportunities • Anniversary and birthday gifts • Great location and teammates