Data Engineering Manager

🔥 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 and implement data ingestion architectures on Snowflake • Lead data engineering projects from discovery and requirements through POC validation and production deployment • Build and mentor a high-performing engineering team • Design platform-agnostic data pipelines and schemas that scale at high volume • 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 • Assess and optimize latency, throughput, connection stability, and integration options • Define data integration strategies and communicate tradeoffs to clients • Guide infrastructure and tool selection • Lead partner-facing API design and integration strategy • Architect batch versus real-time solutions • Design 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 • Experience with high-volume record matching, deduplication, and identity resolution systems • Experience across Snowflake, Databricks, BigQuery, Redshift, and other platforms • Expertise in pipeline development, performance testing, latency, and throughput analysis • Experience designing 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 hiring, team-building, and mentoring experience • Advanced English required for communication with global teams and client leadership

🏖️ Benefits

• Certifications in AWS, Databricks, and Snowflake • Access to AI learning paths • Study plans, courses, and additional certifications tailored to the 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 personal milestones • Company-provided equipment • Flexible working options • Other benefits may vary according to location in LATAM