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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing modern data architectures, including cloud, hybrid, and on-premises environments, while ensuring data governance, security, and compliance. Proficient in leading technical teams, mentoring engineers, and establishing scalable data processing patterns.
Highest-signal resume keywords
Data Architecture DesignSnowflake Platform ExperienceDatabricks Platform ExperienceSQL ProficiencyPython Proficiency
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 ModelingData IntegrationData GovernanceData Pipeline OrchestrationCI/CD PracticesEnvironment PromotionAnalytics ArchitectureTechnical DesignData Quality MonitoringDisaster Recovery
Soft Skills
MentoringStakeholder EngagementTechnical CommunicationTeam LeadershipCoaching
Tools & Technologies
Microsoft FabricCloud PlatformsData LakehouseData WarehouseData Mesh
Industry Keywords
Data ArchitectureData EngineeringAnalytics EngineeringTechnical ConsultingData Security
Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- Lead the design of modern data architectures across cloud, hybrid, and on-premises environments
- Translate business, information, analytics, and AI requirements into technical architectures and implementation roadmaps
- Define patterns for data ingestion, transformation, orchestration, storage, modeling, serving, governance, security, and observability
- Design lakehouse, data warehouse, data mesh, data product, and hybrid architectures
- Produce architecture diagrams, standards, reference architectures, technical designs, and implementation plans
- Evaluate Snowflake, Databricks, and Microsoft Fabric platform options and trade-offs
- Establish scalable patterns for batch, streaming, event-driven, and incremental data processing
- Guide teams in productionizing notebooks, pipelines, SQL, Python, reusable frameworks, and infrastructure-as-code
- Define environment promotion and CI/CD practices across development, test, and production environments
- Facilitate discovery sessions, architecture workshops, design reviews, and stakeholder working sessions
- Build relationships with client executives, technology leaders, data leaders, engineers, analysts, and business stakeholders
- Lead current-state assessments and maturity evaluations and develop prioritized recommendations and roadmaps
- Contribute to proposals, statements of work, estimates, presentations, demonstrations, and solution shaping
- Provide technical direction to data engineers, analytics engineers, architects, analysts, and client teams
- Lead architecture reviews and design governance throughout the delivery lifecycle
- Mentor engineers and architects through coaching, pairing, feedback, and knowledge sharing
- Create reusable accelerators, templates, standards, playbooks, and service offerings
- Incorporate data security, privacy, access control, compliance, retention, and responsible data use into architecture decisions
- Establish approaches for data quality monitoring, lineage, cataloging, documentation, and stewardship
- Define operational requirements for monitoring, alerting, incident response, disaster recovery, and service-level objectives
- Evaluate and improve platform cost management, capacity planning, workload isolation, and resource utilization
Requirements
What you’ll need- 8+ years of experience in data architecture, data engineering, analytics engineering, or a related technical consulting role
- Hands-on production experience with at least two of Snowflake, Databricks, and Microsoft Fabric
- Demonstrated experience designing and delivering enterprise or large-scale cloud data platforms
- Strong knowledge of data modeling, data integration, lakehouse and warehouse patterns, analytics architecture, and data governance
- Proficiency with SQL and Python, including the ability to review and guide production-quality code
- Experience with data pipeline orchestration, CI/CD, source control, automated testing, and environment promotion
- Experience leading architecture workshops, technical design sessions, or complex delivery initiatives
- Ability to explain technical decisions, alternatives, risks, and business impact to varied audiences
- Demonstrated ability to mentor technical teams and establish repeatable engineering standards
- Willingness and ability to travel periodically for client engagements, team meetings, or industry events
Benefits
Comp & perks- Comprehensive medical, dental and vision plans for you and your dependents
- 401(k) Retirement Plan with Employer Match
- 529 College Savings Plan
- Health Savings Account
- Life Insurance
- Long-Term Disability
- Competitive Compensation
- Training and development programs
- Major offices stocked with snacks and beverages
- Collaborative and cool culture
- Work-life balance
- Generous paid time off