Job Description Blendis is hiring a Lead Data Engineer to design and implement scalable ingestion and validation solutions for a leading enterprise client. This client‑facing leadership role requires strong technical expertise in Snowflake-based data platforms, modern data architectures, and AWS, combined with excellent communication skills and a proactive mindset. Responsibilities 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 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. Contribute to data governance initiatives, including data definitions, lineage, and stewardship practices. Document and continuously improve data platform processes. Qualifications 4+ years of experience in Data Engineering. Strong hands‑on experience with Snowflake (Must). 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). Key Competencies Strong communication skills – ability to work directly with clients and cross‑functional teams. Client‑facing mindset – comfortable engaging with stakeholders and driving discussions. Proactiveness – ability to anticipate issues and act before they become blockers. Ownership & leadership – ability to lead initiatives and influence technical decisions. Analytical thinking & problem‑solving. Benefits Learning Opportunities: Certifications in AWS, Databricks, and Snowflake; AI learning paths; study plans and additional certifications tailored to your role; access to Udemy Business; English lessons. Travel Opportunities to attend industry conferences and meet clients. Mentoring and Development: Career development plans and mentorship programs. Celebrations & Support: Special day rewards for birthdays, work anniversaries, and other personal milestones. Company‑provided equipment. Flexible working options. #J-18808-Ljbffr