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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in Snowflake architecture and delivery, with a strong focus on data engineering, governance, and FinOps. Proven ability to lead large-scale implementations, drive capability development, and establish best practices in data management and analytics.
Highest-signal resume keywords
Snowflake ArchitectureData EngineeringData GovernanceELT/ETL PipelinesCloud Ecosystems
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SnowflakeData ModellingPerformance TuningCost OptimisationData GovernanceELTETLData IngestionData TransformationData Orchestration
Soft Skills
LeadershipMentoringClient-Facing ConsultingThought LeadershipCollaboration
Tools & Technologies
DbtAzureAWSGCPAirflowMatillionInformaticaCI/CDDataOpsDevSecOps
Certifications & Qualifications
Bachelor's Degree
Industry Keywords
FinOpsData GovernanceInsuranceBFSIHealthcareModern Data StackGenAIAI Integration
Tech Stack
Tools & technologiesAirflowAWSAzureCloudETLGoogle Cloud PlatformInformaticaMatillionPythonSparkVault
About the role
Key responsibilities & impact- Build and scale Snowflake Centre of Excellence capabilities across architecture, engineering, governance, and FinOps
- Define reference architectures, reusable assets, frameworks, and accelerators
- Drive capability development, hiring strategy, and upskilling initiatives
- Establish standards for delivery quality, security, and performance
- Own end-to-end Snowflake architecture for enterprise-scale programs
- Translate business goals into data platform strategies
- Design data ingestion, transformation, orchestration, modelling, and consumption solutions
- Lead architecture governance and design reviews
- Lead large-scale Snowflake implementations and transformations
- Define and track delivery KPIs, FinOps cost optimisation, and performance metrics
- Ensure adoption of CI/CD, DataOps, and DevSecOps practices
- Act as escalation point for complex technical challenges
- Partner with clients on data strategies, roadmaps, and transformation journeys
- Lead solution workshops, proposals, and executive discussions
- Provide thought leadership in Snowflake, Data Engineering, and Analytics
- Drive account growth through cross-selling and innovation-led proposals
- Mentor architects and engineers across projects
- Build internal communities around Snowflake, dbt, the modern data stack, and cloud-native data engineering
- Promote best practices in coding, modelling, and governance
Requirements
What you’ll need- Bachelor's Degree
- 15+ years overall experience in data engineering / analytics / data platform roles
- 7+ years in Snowflake with strong architecture and delivery experience
- Proven experience leading CoE, practice, or large delivery teams
- Deep expertise in Snowflake, including Snowpipe, Streams & Tasks, Dynamic Tables, and Secure Sharing
- Expertise in dimensional, Data Vault, and Lakehouse data modelling
- Experience with performance tuning and cost optimisation strategies
- Experience with data governance and security, including RBAC, masking, and row/column security
- Strong experience with ELT/ETL pipelines and orchestration tools, including ADF, Airflow, dbt, Matillion, and Informatica
- Hands-on experience in client-facing consulting roles and solution design
- Experience with Azure, AWS, or GCP ecosystems
- Exposure to GenAI / AI integration with data platforms
- Experience in domain analytics such as Insurance, BFSI, or Healthcare
- Familiarity with modern data stack tools, dbt, Python frameworks, and Spark
Benefits
Comp & perks- No benefits or compensation extras specified.
