Blend360
Marketing And Advertising
LeadDataEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Lead Data Engineer at Blend360. Skills: Data engineering, AI, Snowflake. Design data products. Build data products”
What You'll Achieve.
Unlock transformational value; Drive meaningful outcomes; Create measurable business value; Improve business processes; Improve user experiences; Improve team productivity; Create better outcomes
Industry & Context.
Problem-solving; Consultative problem-solving
What They're Looking For.
Must Have
Experience designing and building data products, SQL expertise, Experience working within Snowflake, Familiarity with Snowflake AI capabilities, Understanding of AI/automation business processes, Ability to identify AI opportunities, Excellent communication skills, Demonstrated ability to lead discussions, Experience gathering requirements, Consulting mindset
Nice to Have
Experience implementing AI-enabled solutions, Experience with knowledge management, Background in analytics engineering, Experience working in Agile environments, Familiarity with modern cloud ecosystems
What You'll Do.
Support data products
Design analytics solutions
Build analytics solutions
Support analytics solutions
Develop data pipelines
Optimize data pipelines
Develop data transformations
Optimize data transformations
Apply Snowflake Cortex capabilities
Support Snowflake Cortex capabilities
Partner with product teams
Translate requirements
Perform data analysis
Ensure data reliability
Ensure data performance
Ensure data maintainability
Apply AI capabilities
Act as strategic partner
Lead discovery sessions
Recommend product improvements
Recommend process improvements
Recommend platform improvements
Drive conversations around automation
Improve user experiences
Improve team productivity
Help stakeholders rethink approaches
Identify opportunities for AI agents
Serve as subject matter expert
Influence product direction
Bridge gap between stakeholders
Ensure alignment on goals
Ensure alignment on priorities
Ensure alignment on outcomes
How You'll Work.
Team & Collaboration
Product teams; Business teams; Stakeholders; Technical teams; Non-technical stakeholders
Communication Scope
Stakeholder management; Lead conversations
Full Job Description
Blend360 is a premier data, AI, and marketing consulting firm that partners with the world's most ambitious organizations to turn complex challenges into competitive advantage. We sit at the intersection of deep analytical rigor and pragmatic business execution—helping Fortune 1000 companies and Private Equity-backed businesses unlock transformational value through data, technology, and human expertise. We're looking for a Data Engineer who is passionate about building modern data products, leveraging AI-powered capabilities, and partnering closely with product teams to drive meaningful outcomes. This role is equal parts technical delivery and product partnership. You'll design and deliver data solutions while serving as a trusted advisor to stakeholders—helping teams identify opportunities, improve processes, and unlock value through data, automation, and AI. We're seeking someone who brings curiosity, initiative, and a consulting mindset, with the ability to lead conversations and proactively recommend solutions rather than simply execute requests. What You'll Do Data Engineering, Analytics & Technical Delivery (50%) * Design, build, and support scalable data products and analytics solutions. * Develop and optimize data models, data pipelines, and transformations using SQL and modern cloud data platforms. * Leverage Snowflake's AI ecosystem to accelerate development, analytics, and operational efficiency. * Apply and support Snowflake Cortex capabilities, including Cortex Agents, Cortex Analyst, Cortex Code, copilots, and other emerging AI-powered features. * Partner with product and business teams to translate requirements into scalable technical solutions. * Perform data analysis to uncover insights, validate opportunities, and inform product decisions. * Ensure data quality, reliability, performance, and maintainability across data products and platforms. * Stay current with rapidly evolving AI and Snowflake capabilities and identify practical ways to apply the
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