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 design and implementation of data ingestion architectures. Own development of end-to-end ELT pipelines”
Industry & Context.
Mitigation strategies
What They're Looking For.
Must Have
3+ years of experience in Data Engineering, Hands-on experience with Snowflake, Experience building and maintaining data pipelines in AWS, Experience building ELT pipelines, Experience with Airflow for workflow orchestration, Solid experience with SQL, Large-scale data processing experience
Nice to Have
Familiarity with Snowflake Cortex, Experience with CI/CD pipelines, Experience with Iceberg tables, Experience with Snowflake data sharing, Experience with dbt, Experience with Glue, Experience with Athena, Experience with EMR, Experience with Lambda, Experience with Terraform, Experience with CloudFormation
What You'll Do.
Lead design and implementation of data ingestion architectures
Own development of end-to-end ELT pipelines
Integrate multiple data sources
Design and manage workflow orchestration using Airflow
Ensure efficient scheduling
Ensure dependency management
Design and enforce data quality frameworks
Build and optimize data pipelines on AWS
Build and optimize data architectures on AWS
Develop and enhance data validation frameworks
Develop and enhance data ingestion frameworks
Act as a technical leader
Guide best practices in data engineering
Guide best practices in orchestration
Guide best practices in governance
Guide best practices in pipeline reliability
Proactively identify risks
Proactively identify bottlenecks
Proactively identify data quality issues
Implement mitigation strategies
Contribute to data governance initiatives
Drive documentation of data platform processes
Drive continuous improvement of data platform processes
How You'll Work.
Team & Collaboration
Client-facing role
Communication Scope
Communication skills
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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