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Senior Data Engineer – Snowflake
First Citizens Bank. Manage the Snowflake data platform across multiple accounts .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing and optimizing the Snowflake data platform, including data architecture design, governance, and security. Proficient in building and deploying data pipelines and Snowflake objects while ensuring data quality and compliance with best practices.
Highest-signal resume keywords
Snowflake Data Platform ManagementData Architecture DesignData Governance and SecurityData Pipeline DevelopmentCloud Platform Integration
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 WarehousingData Pipeline DevelopmentPythonRBACData GovernanceAgile MethodologiesCI/CD AutomationMetadata ManagementCost Optimization
Soft Skills
MentoringCollaborationTechnical GuidanceProblem-SolvingCommunication
Tools & Technologies
AWSDbtPower BITableauAstronomer AirflowSplunkDynatraceOktaSailPointGreat Expectations
Certifications & Qualifications
Relevant Cloud Certifications
Industry Keywords
Financial Banking DomainConsumption ModelData Security StrategiesMedallion ArchitectureEvent-Driven Ingestion
Tech Stack
Tools & technologiesAirflowAWSCloudKafkaPythonRDBMSSnowflakeSplunkTableau
About the role
Key responsibilities & impact- Manage the Snowflake data platform across multiple accounts
- Design and implement scalable, efficient data architectures
- Lead development of data strategy aligned with business objectives
- Evaluate and integrate new technologies to enhance data capabilities
- Establish and enforce data governance policies, best practices, and data quality checks
- Enforce Snowflake RBAC/ABAC, network policies/rules, masking and row access policies, tags, data classification, and least-privilege role hierarchies
- Build performant Snowflake objects, including databases, tables, streams, tasks, materialized views, and warehouses
- Optimize clustering and micro-partitioning
- Analyze and optimize system performance for large-scale data operations
- Troubleshoot complex data issues and implement robust solutions
- Validate Snowflake data objects, roles, RBAC policies, configurations, integrations, and access
- Adopt release management processes and promote code deployment across environments, including production and disaster recovery
- Provide production support activities
- Mentor junior data engineers and provide technical guidance
- Develop best practices and standards
- Collaborate with cross-functional teams and technical partners to drive data literacy and data-driven decision-making
Requirements
What you’ll need- Bachelor's Degree and 4 years' experience in data engineering, data technologies, cloud platforms OR High School Diploma or GED/Equivalent and 8 years' experience in data engineering, data technologies, cloud platforms
- Deep knowledge of Snowflake platform design, security, data warehouses, objects and access management
- Experience with sophisticated data pipelines in an agile environment
- Experience designing, building, and operating secure, cost-efficient Snowflake data warehouses using medallion architecture
- Knowledge of Snowflake data security and governance strategies, including Okta/SailPoint integration, RBAC, masking, data classification, tokenization, and lineage
- Experience building and deploying metadata-driven, secured, governed Snowflake objects, Streamlit applications and dashboards, and data pipelines integrated with AWS, dbt, and observability tools through CI/CD automation
- Experience building, configuring, and testing integrations between Snowflake and on-premise/cloud RDBMS and non-RDBMS data sources
- Experience with Python frameworks, dbt, Power BI, Tableau, and Astronomer Airflow
- Knowledge of FinOps for Snowflake, cost charge-back/show-back, and warehouse auto-tuning
- Experience implementing logging, monitoring, and alerting with Snowflake ACCOUNT_USAGE/INFORMATION_SCHEMA and event tables, and integrating with Splunk and Dynatrace
- Experience adopting release management guidelines, deploying code to various environments, implementing disaster recovery strategies, and leading production activities
- Experience with Cortex AI, Iceberg/external tables, Kafka, or event-driven ingestion patterns
- Great Expectations, Monte Carlo, Anomalo, Atlan, Collibra, or BigID integration experience is a plus
- Financial banking domain and consumption model experience is a plus
- Relevant cloud or data platform certifications are preferred
- Must be hired in North Carolina, Florida, Texas, or Arizona
Benefits
Comp & perks- Competitive, thoughtfully designed and quality benefits program
- Benefits information provided at https://jobs.firstcitizens.com/benefits