Data Engineering Lead

🕒 May 13

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Blend360

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🤖 Artificial Intelligence

🏢 Enterprise

💰 $100M Private Equity Round on 2022-08

Artificial Intelligence • Enterprise • Consulting

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 implementation of data ingestion architectures in Snowflake , ensuring scalability and reliability. • Own the development of end-to-end ELT pipelines integrating multiple data sources. • Design and enforce data quality frameworks , including validation rules, testing strategies, and monitoring. • Apply and drive Medallion Architecture (Bronze, Silver, Gold) best practices across data pipelines. • Build and optimize data pipelines and architectures on AWS (S3, Glue, Lambda, EMR, etc.). • Develop and enhance data validation and ingestion frameworks , including UI components (Streamlit-based) when needed. • Act as a technical leader , guiding best practices in data engineering, governance, and pipeline reliability. • Proactively identify risks, bottlenecks, and data quality issues , and implement mitigation strategies before they impact delivery. • Contribute to data governance initiatives , including data definitions, lineage, and stewardship practices. • Drive documentation and continuous improvement of data platform processes.

🎯 Requirements

• 4+ years of experience in Data Engineering (strong senior-level or lead mindset expected). • Strong hands-on experience with Snowflake (Must). • Strong experience building ELT pipelines and data ingestion solutions. • Solid experience with SQL and large-scale data processing. • Strong understanding and hands-on experience with Medallion Architecture (Must). • Experience building and maintaining data pipelines in AWS (Plus). • Experience with data quality, validation frameworks, and governance practices. • Familiarity with Snowflake Cortex (Plus). • Experience with CI/CD pipelines for data workflows (Plus). • Experience with Iceberg tables and Snowflake data sharing (Plus). • Experience with tools such as dbt, Glue, Athena, EMR, Lambda, Terraform, or CloudFormation (Plus).

🏖️ Benefits

• Learning Opportunities: 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. • Mentoring and Development: Career development plans and mentorship programs to help shape your path. • Celebrations & Support: Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. • Company-provided equipment. • Flexible working options to help you strike the right balance. • Other benefits may vary according to your location in LATAM.