BLEND360
Data, Digital Marketing, & AI Solutions
DataEngineeringManager
Neural analysis suggests this role is
optimal for mid candidates.
“Data Engineering Manager at BLEND360. Skills: Data Engineering, Engineering Management, Cloud Data Platforms. Own day-to-day leadership and operational management. Drive delivery accountability across engineering squads”
What You'll Achieve.
high-quality, scalable, and reliable implementations; high standards for quality, velocity, and operational reliability; Productivity measurement; engineering adoption practices; Pull request cycle time; Deployment frequency; Pipeline reliability; Test coverage; Delivery throughput and quality; successful execution against business priorities; improve delivery performance
Industry & Context.
analytical skills
What They're Looking For.
Must Have
engineering management and technical delivery leadership experience, Deep understanding of Agile delivery methodologies and sprint execution management, Experience leading distributed, nearshore, or offshore engineering teams, code review and engineering governance capabilities, Hands-on background in modern data engineering and cloud data platforms, Experience managing engineering performance metrics and operational KPIs, Familiarity with AI-assisted software development workflows and governance practices, communication and stakeholder management skills in client-facing environments, 7+ years of experience in data engineering or related engineering disciplines, 3+ years managing engineering teams of 10+ resources, Proven experience leading distributed engineering organizations in fast-paced delivery environments, Experience managing enterprise-scale data initiatives and cross-functional delivery programs
Nice to Have
Consulting or client-facing delivery experience strongly preferred
What You'll Do.
Own day-to-day leadership and operational management
Drive delivery accountability across engineering squads
Manage sprint planning
and delivery coordination
Lead daily standups and establish communication rhythms
Conduct code reviews and enforce engineering best practices
and ongoing enablement
Establish and manage AI-assisted development governance
Track and improve engineering delivery metrics
Partner closely with architects
and client leadership
Foster a culture of accountability
continuous improvement
How You'll Work.
Team & Collaboration
collaboration gaps; cross-functional collaboration; Partner closely with architects, product stakeholders, and client leadership; collaboration
Communication Scope
communication and stakeholder management skills in client-facing environments; communication rhythms; client-facing communication
Process & Methodology
delivery management, sprint planning, execution management, delivery coordination, delivery accountability, delivery metrics, delivery throughput, delivery programs
Full Job Description
BLEND360 is an acclaimed, forward-thinking Data, Digital Marketing, & AI Solutions Company, dedicated to fueling remarkable outcomes for our Fortune 500 clients. Our trajectory is one of continuous expansion, emerging at the crossroads of cutting-edge analytics, data proficiency, technology, and digital marketing excellence. This is an hourly/contract opportunity that could become permanent over time. We are seeking a Data Engineering Manager to lead execution delivery for a large-scale Marketing Data Layer initiative supporting a major telecommunications customer. This role will oversee a 16-person nearshore engineering organization responsible for building and scaling enterprise data ingestion and transformation capabilities within a modern AWS-based ecosystem. The ideal candidate combines strong engineering leadership with deep delivery management experience in distributed data engineering environments. This role requires someone who can drive execution excellence, establish engineering rigor, and lead teams through modern AI-assisted development practices while maintaining high standards for quality, velocity, and operational reliability. What You’ll Do * Own day-to-day leadership and operational management of a 16-person nearshore Data Engineering execution pod * Drive delivery accountability across engineering squads, ensuring high-quality, scalable, and reliable implementations * Manage sprint planning, execution, and delivery coordination across distributed nearshore teams * Lead daily standups and establish strong communication rhythms that effectively bridge timezone and cross-functional collaboration gaps * Conduct code reviews and enforce engineering best practices, development standards, and quality controls * Oversee onboarding, ramp-up, and ongoing enablement of nearshore contractors and engineering resources * Establish and manage AI-assisted development governance, including: * Prompt engineering patterns and usage standards * Review processes for A
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