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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data architecture and engineering, with a strong focus on SQL, Python, and production-scale data platforms like Snowflake. Proficient in data modeling, compliance with data governance standards, and implementing robust data lineage and monitoring practices.
Highest-signal resume keywords
Expert SQLProduction-Scale Snowflake ExperienceDimensional Data Modeling (Kimball)RBAC and Data Masking ExpertiseCI/CD and Automated Testing
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 EngineeringData ArchitectureData WarehousingData ModelingSQLPythonRBACData ClassificationMonitoring and AlertingVersion Control
Soft Skills
LeadershipCollaborationMentoringAdaptabilityInfluence
Tools & Technologies
SnowflakeDbtTerraformAirflowDagsterAtlanAlationCollibraDataHub
Industry Keywords
Data GovernanceData LineageSLASLOPIIRegulated DataData QualityInfrastructure as CodeChange ManagementData Catalog
Tech Stack
Tools & technologiesAirflowPythonSnowflakeSQLTerraformVault
About the role
Key responsibilities & impact- Define the architecture, standards, patterns, naming conventions, and modeling practices for the BI analytics platform
- Establish end-to-end, column-level lineage from source systems to dashboards
- Maintain a data catalog and business glossary
- Classify sensitive data and implement tagging, masking, row access policies, least-privilege RBAC, retention, and deletion controls
- Define SLAs, SLOs, and freshness targets for data products
- Design monitoring and alerting for data reliability breaches
- Architect ingestion, transformation, and orchestration patterns, including backfills, late-arriving data, and failure handling
- Own schema design review, versioning, and change management
- Approve architectural changes through design review and maintain platform coherence
- Translate reporting needs into durable data models
- Collaborate with Security, Legal, Compliance, analysts, BI developers, business leaders, and engineers
- Require version control, code review, CI/CD, automated tests, infrastructure as code, and data quality contracts
- Write architecture decision records and design documents
- Mentor data engineers and analytics engineers
Requirements
What you’ll need- 8+ years in data engineering, architecture, or warehousing
- 3+ years as the accountable architect
- Expert SQL
- Working fluency in Python
- Production-scale Snowflake or equivalent experience
- Experience with RBAC, masking and row access policies, object tagging, resource monitors, and cost management
- Expertise in dimensional (Kimball) and normalized data modeling
- Experience with PII and regulated data, including classification, minimization, masking or tokenization, retention, and deletion
- Experience defining and meeting data SLAs, with monitoring, alerting, and incident response
- Git workflows, code review, CI/CD, automated testing, and environment promotion
- Experience with dbt, Terraform, Airflow or Dagster, and catalog tools such as Atlan, Alation, Collibra, or DataHub is a plus
- Experience with Data Vault is ideally preferred
- Ability to lead through influence and explain technical trade-offs
- Ability to adapt quickly to new tools and technologies
- Must reside in the US, as the application asks whether the applicant currently resides in the US and addresses employment sponsorship for the country where the job is located
Benefits
Comp & perks- Competitive salary and equity packages for all employees
- Platinum medical, dental, and vision
- Free life insurance, including long-term disability and short-term disability
- Unlimited PTO and paid holidays
- Maternity and paternity leave
- Assured contributes 3% of your income to a 401(k), even if you don't contribute
- Lunch provided twice per week
- Monthly phone stipend and other home office perks
- Health FSAs and HSAs
- Team events and offsites
