Data Engineering Lead

EXL

. Lead end-to-end delivery of Marketing Data platform, integration, reporting, and architecture initiatives from intake through production deployment .

Posted 10/19/2026full-timeUnited StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in Data Engineering, Data Modeling, and Architecture, with a strong focus on Azure and Databricks. Proven ability to lead teams, manage complex projects, and ensure alignment with organizational goals while maintaining data governance standards.

Highest-signal resume keywords

Data EngineeringAzureDatabricksSQL/RDBMSCustomer 360

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData ArchitectureData PipelinesIntegration PatternsData QualityData PrivacyData LineageTechnical LeadershipProject ManagementMentoring

Soft Skills

Strong CommunicationProblem-SolvingPositive Attitude

Tools & Technologies

GitCopilotClaudeGitHub Copilot

Industry Keywords

Marketing DataAccountCustomerProspectLeadOpportunityEngagementConsentMDMSystem Integrations

Tech Stack

Tools & technologies

AzureCloudRDBMSSQL

About the role

Key responsibilities & impact

Lead end-to-end delivery of Marketing Data platform, integration, reporting, and architecture initiatives from intake through production deployment
Partner with business stakeholders to clarify requirements, define scope, validate priorities, and translate objectives into executable delivery plans
Manage project risks, dependencies, decisions, timelines, and tradeoffs across business, development, architecture, infrastructure, and operations teams
Establish and maintain project plans, RAID logs, decision logs, requirements documentation, release plans, and production handoff materials
Drive sprint planning, backlog refinement, delivery ceremonies, technical reviews, and issue-resolution discussions
Ensure solutions are scalable, secure, supportable, well-documented, and aligned with enterprise data governance standards
Provide technical leadership across cloud data platforms, data modeling, data pipelines, integrations, and downstream reporting or activation use cases
Oversee organizational data engineering solutions
Lead high-impact initiatives and ensure alignment with organizational goals
Provide executive guidance
Mentor team members and lead design reviews

Requirements

What you’ll need

10 to 15 years of experience in Data Engineering, Data Modeling & Architecture
Strong expertise in Azure and Databricks
Experience with Marketing Data concepts including Account, Customer, Prospect, Lead, Opportunity, Engagement, and Consent
Strong Customer 360 and MDM concepts with multiple system integrations
Experience leading and managing a team of 5–8 or more data engineers, architects, and technical specialists
Experience with SQL/RDBMS, Git, integration patterns, data modeling, Copilot, Claude, and GitHub Copilot
Knowledge of data quality, controls, lineage, documentation, data privacy, and security
Graduate in Computer Science, Data Science, or a related field
Strong communication and problem-solving skills
Positive attitude
Immediate availability preferred/stated as date of joining

Benefits

Comp & perks

Hybrid work arrangement