Blend360
Marketing And Advertising
SeniorDataEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Data Engineer at Blend360. Skills: Data Engineering, AWS, Python, PySpark, Snowflake, Data Pipelines, Data Modeling. drive the design and implementation of scalable, domain-oriented data solutions. lead a specific data area (Ingestion, Customer Data, Enrichment, or Marketing Signals)”
What You'll Achieve.
co-creating meaningful impact for its clients; unlocking value and fostering innovation for its clients; creating more fulfilling work and projects for our people and clients; drive the design and implementation of scalable, domain-oriented data solutions for a high-impact enterprise initiative; ensuring high-quality, reliable, and scalable data pipelines that power analytics and business-critical workflows; continuously improve data quality, performance, and usability
Industry & Context.
Proactively identify risks, bottlenecks, and optimization opportunities
Travel opportunities to attend industry conferences and meet clients.
What They're Looking For.
Must Have
5+ years of experience in Data Engineering, 2+ years in a Lead or Senior capacity, experience with AWS ecosystem (Glue, S3, Athena, Step Functions), hands-on experience with Python and PySpark
Nice to Have
hands-on experience with Snowflake, Familiarity with AI-assisted development tools
What You'll Do.
drive the design and implementation of scalable
domain-oriented data solutions
lead a specific data area (Ingestion
or Marketing Signals)
ensuring high-quality
and scalable data pipelines
power analytics and business-critical workflows
combine hands-on technical expertise with team leadership
deliver robust data architectures
continuously improve data quality
Lead the design and development of scalable data pipelines on AWS (Glue
Build and optimize batch and streaming ingestion pipelines
including CDC-based architectures
Design and implement robust data models aligned with business and analytics needs
and performance across pipelines and datasets
Provide technical leadership and mentorship to other engineers
Drive best practices in data engineering
including modular design
Leverage AI-assisted development tools to improve productivity and code quality
Proactively identify risks
and optimization opportunities
How You'll Work.
Team & Collaboration
working closely with cross-functional teams and stakeholders; Collaborate with cross-functional teams to align technical solutions with business requirements
Process & Methodology
Experience leading initiatives or teams in data engineering environments
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 to drive the design and implementation of scalable, domain-oriented data solutions for a high-impact enterprise initiative. This role is structured around domain ownership, where you will lead a specific data area (Ingestion, Customer Data, Enrichment, or Marketing Signals), ensuring high-quality, reliable, and scalable data pipelines that power analytics and business-critical workflows. You will combine hands-on technical expertise with team leadership, working closely with cross-functional teams and stakeholders to deliver robust data architectures and continuously improve data quality, performance, and usability. What will you be doing? * Lead the design and development of scalable data pipelines on AWS (Glue, S3, Athena, Step Functions) * Build and optimize batch and streaming ingestion pipelines , including CDC-based architectures * Design and implement robust data models aligned with business and analytics needs * Ensure data quality, reliability, and performance across pipelines and datasets * Collaborate with cross-functional teams to align technical solutions with business requirements * Provide technical leadership and mentorship to other engineers * Drive best practices in data engineering , including modular design, reusability, and governance *
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