Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
Tailor your resume to this Staff Data Engineer role.
Rezi rewrites your resume against Dow Jones's job description. Free.
Tailor your resume to this Staff Data Engineer role.
Rezi rewrites your resume against Dow Jones's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Staff Data Engineer posting at Dow Jones — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Staff Data Engineer posting at Dow Jones — free, in seconds.
About the Role
This individual-contributor leadership role focuses on Snowflake infrastructure at Dow Jones enterprise scale. You will own the platform end-to-end, including account architecture, administration, security, access control, and the DevOps machinery. You will also own the Snowflake platform's AI story, focusing on efficient, cost-managed access to AI features and optimized patterns for LLM-assisted workflows.
Responsibilities
- Own the Snowflake footprint across Dow Jones: accounts, warehouses, roles, databases, and the operating model.
- Design and evolve RBAC, column and row-level policies, masking, tagging, and data classification.
- Build and maintain the DevOps pipeline for Snowflake: Terraform, CI/CD for schema and object changes, automated testing, and change management.
- Set and enforce standards for security, network policies, private connectivity, SSO, SCIM, and secrets management.
- Optimize cost and performance: resource monitors, warehouse right-sizing, query analysis, credit budgeting, and FinOps reporting.
- Design for reliability at DJ scale: replication, failover, disaster recovery, incident response, and observability.
- Explore and implement emerging AI tooling to accelerate modern data engineering practices.
- Lead architecture and design reviews for major Snowflake initiatives.
- Anticipate scalability, reliability, security, and cost problems.
- Hunt technical debt in the platform to reduce complexity.
- Debug complex platform problems and lead during incidents to find root causes quickly.
- Mentor engineers across levels, including senior and staff peers, through design guidance, code review, pairing, and documentation.
- Contribute to the organization's engineer development practices, career frameworks, and communities of practice.
- Communicate through design docs, wiki, and tech talks, tailoring messages for different audiences.
Requirements
- 7+ years in data engineering, platform engineering, or infrastructure roles, with experience at large or enterprise-scale companies.
- Thought-leader in AI and opinionated about making it work effectively at scale on a data platform.
- Deep, hands-on Snowflake experience running a production account at scale: administration, RBAC, security posture, cost, and performance.
- Strong Terraform experience (Snowflake provider or equivalent) and CI/CD for data infrastructure.
- Track record designing and operating data platforms that serve many teams, business units, or downstream systems.
- Security fluency: RBAC design, data masking, access policies, private connectivity, SSO and SCIM, audit posture.
- Fluency with observability, monitoring, incident response, and on-call for data infrastructure.
- Strong Python for platform tooling, automation, or service work.
- Experience working in regulated or audited environments (SOC 2, SOX, GDPR, or equivalent).
- Ability to influence across teams and functions without formal authority, backed by strong writing and speaking skills.
Skills
- Snowflake
- Terraform
- CI/CD
- Python
- RBAC
- Data Masking
- Access Policies
- Private Connectivity
- SSO
- SCIM
- Observability
- Monitoring
- Incident Response
- On-call
- AI
- LLM
- dbt
- Airflow
- Data Governance
- Metadata
- Lineage
- AWS
Location
- New York, United States
Work Type
- Onsite
Experience Level
- Staff Engineer
- 7+ years
Education Level
- Bachelor's degree in Computer Science, Engineering, or equivalent experience.
Salary/Compensations
- 160,000 $ - 200,000 $
Benefits
- Comprehensive healthcare plans.
- Paid time off.
- Retirement plans.
- Comprehensive insurance plans.
- Education benefits.
- Family care benefits.
- Commuter transit program.
- Subscription discounts.
- Employee referral program.
About the Company
- Dow Jones is a global provider of news and business information, delivering content to consumers and organizations around the world across multiple formats, including print, digital, mobile and live events.
- The Data Architecture & Platform Engineering team runs the data infrastructure behind Dow Jones products, analytics, and AI across B2B, B2C, and internal use cases.
- We own the Snowflake footprint which serves as the foundation of all DJ structured data, the surrounding platforms and patterns, and the governance framework.
- We build for scale, reliability, security, and cost efficiency.
Equal Opportunity
- All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic under applicable law. EEO/Disabled/Vets
- We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at talentresourceteam@dowjones.com. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.