Blend360
Technology
SeniorDataEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Data Engineer at Blend360. Skills: Data Engineering, Snowflake, AWS, Airflow. Lead data ingestion architecture design. Own ELT pipeline development”
Industry & Context.
Mitigation strategies
What They're Looking For.
Must Have
3+ years experience, Snowflake experience, AWS data pipelines, ELT pipelines, Airflow orchestration, SQL experience
Nice to Have
Snowflake Cortex familiarity, CI/CD pipelines experience, Iceberg tables experience, Snowflake data sharing experience, Dbt experience, Glue experience, Athena experience, EMR experience, Lambda experience, Terraform experience, CloudFormation experience
What You'll Do.
Lead data ingestion architecture design
Own ELT pipeline development
Design workflow orchestration
Design data quality frameworks
Build AWS data pipelines
Develop data validation frameworks
Guide data engineering best practices
Identify risks and bottlenecks
Contribute to data governance
Drive documentation improvement
How You'll Work.
Team & Collaboration
Client-facing role
Communication Scope
Client communication
Full Job Description
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit [www.blend360.com](http://www.blend360.com/) We’re looking for a Senior Data Engineer with strong expertise in Snowflake-based data platforms, AWS, and Airflow, to lead the design and implementation of scalable ingestion and orchestration solutions for a leading enterprise client. This is a client-facing role, ideal for engineers who combine deep technical expertise with strong communication skills and a proactive mindset. You will play a key role in ensuring high-quality, governed, and reliable data pipelines that power critical business and analytics workflows. What will you be doing? * 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 manage workflow orchestration using Airflow, ensuring efficient scheduling, monitoring, and dependency management. * Design and enforce data quality frameworks, including validation rules, testing strategies, and monitoring. * Build and optimize data pipelines and architectures on AWS (S3, Glue, Lambda, EMR, etc.). * Develop and enhance data validation and ingestion frameworks. * Act as a technical leader, guiding best practices in data engineering, orchestration, governance, and pipeline reliability. * Proactively identify risks, bottlenecks, a
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