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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data engineering and analytics, with a strong focus on Microsoft Azure delivery and AI integration. Proven ability to lead teams, mentor consultants, and manage client relationships while ensuring high-quality data solutions.
Highest-signal resume keywords
Data Engineering ExperienceMicrosoft Azure DeliverySQL ProficiencyPython SkillsClient-Facing Consulting
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data PipelinesData Quality ChecksAccess ControlsAutomated TestingDeployment PipelinesAI IntegrationData LakesData WarehousesAnalyticsTechnical Documentation
Soft Skills
Team LeadershipClient CommunicationMentoringFeedback ProvisionExpectation Setting
Tools & Technologies
Microsoft FabricDatabricksAzure Data ServicesAzure Synapse AnalyticsAzure SQLGitPower BISparkEvent-Driven Data IntegrationElastic
Certifications & Qualifications
Microsoft Certifications in Data EngineeringMicrosoft Certifications in AnalyticsMicrosoft Certifications in AzureMicrosoft Certifications in AI
Industry Keywords
Data EngineeringAnalyticsAIClient SolutionsConsulting
Tech Stack
Tools & technologiesAzurePythonSparkSQL
About the role
Key responsibilities & impact- Deliver client solutions and provide day-to-day leadership for consultants and contract delivery resources
- Allocate work approximately 70% to billable client delivery and 30% to non-billable team leadership and practice support
- Lead discovery sessions, clarify requirements and acceptance criteria, estimate work, and explain delivery tradeoffs
- Build and improve data pipelines and platforms using SQL, Python, Microsoft Fabric, Azure data services, and Databricks
- Deliver tested datasets for analytics and AI use cases
- Integrate Azure AI and Azure OpenAI capabilities into client solutions and validate output quality, data handling, and failure behavior
- Apply access controls, data quality checks, security practices, version control, automated testing, and deployment pipelines
- Own assigned work through implementation, validation, documentation, and handoff
- Coordinate with project managers on dates, effort, dependencies, budgets, scope, and client acceptance
- Raise risks, blockers, and scope changes and recommend recovery actions
- Set expectations, assign owners and deliverables, and follow up with consultants and contractors
- Coach team members through check-ins, feedback, development actions, and progress reviews
- Review code, configurations, data pipelines, AI outputs, and documentation; arrange peer reviews and confirm corrections
- Coordinate workload, staffing priorities, onboarding, access, delivery expectations, and handoffs
- Monitor task status and timesheet completeness
- Organize cross-training, knowledge sharing, reusable methods, templates, candidate assessments, and onboarding
- Provide weekly summaries of team delivery, capacity, risks, quality concerns, coaching, reviews, corrective actions, and improvement evidence
Requirements
What you’ll need- 5+ years of experience in data engineering, analytics, or AI, including hands-on Microsoft Azure delivery and client-facing consulting work
- Demonstrated experience leading or mentoring consultants, engineers, or contractors, including setting expectations, reviewing work, and addressing delivery concerns
- Strong SQL and practical Python skills
- Hands-on experience in at least two platforms such as Microsoft Fabric, Databricks, Azure Synapse Analytics, or Azure SQL
- Experience implementing AI integrations and validating their behavior
- Knowledge of data quality, access controls, and secure handling of client information
- Understanding of data lakes, warehouses, pipelines, and analytics, including how prepared datasets support Power BI and AI applications
- Experience with Git, testing, release practices, and technical documentation
- Ability to review another team member’s work and provide useful feedback
- Clear client communication, sound estimation, and ability to balance delivery commitments with team leadership responsibilities
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience
- Preferred: Experience leading mixed teams across multiple client engagements
- Preferred: Experience with Spark, event-driven data integration, AI evaluation, or operating machine learning solutions in production
- Preferred: Exposure to Elastic, Tines, infrastructure as code, or delivery automation
- Preferred: Relevant Microsoft certifications in data engineering, analytics, Azure, or AI
Benefits
Comp & perks- Leadership development: Build coaching and team leadership experience with dedicated time allocated to the work
- Technical growth: Work with architects and consultants, contribute shared delivery practices, and develop expertise through training and client projects
- Remote work arrangement