Job DescriptionStaff Data Engineer We have an opportunity for a Senior Staff Data Architect to join our IT Data, Reporting & Analytics team in Home Office - NJ, reporting to the Senior Director, Data Analytics & Reporting - IT Executive. In this pivotal role, you will design, build, and maintain the scalable data pipelines and platform infrastructure that power Infoblox's enterprise reporting, analytics, and AI-driven decision-making. Collaborating closely with Analytics Engineers, BI Developers, and cross-functional partners across Finance, Sales Operations, Customer Success, and IT, you will translate raw data from our enterprise application landscape into reliable, governed, and consumption-ready data products - and help elevate the maturity of a fast-growing data platform.
Be a Contributor - What You'll Do - Build and maintain robust ELT/ETL pipelines ingesting data from enterprise source systems (e.g., Salesforce, Oracle Fusion, Marketo, Zuora) into the data lake and warehouse, ensuring reliability, freshness, and SLA adherence
- Develop and maintain data models across bronze, silver, and gold layers of the medallion architecture, applying dimensional, normalized, or data vault patterns as appropriate
- Implement data quality checks, automated monitoring, alerting, and logging so pipeline failures and anomalies are detected by the platform - not discovered by the business
- Maintain and improve the transformation layer using dbt (or equivalent), including model documentation, testing, lineage, and certification of data assets
- Enforce data governance standards: naming conventions, metadata, access controls (RBAC/CBAC), data masking, and retention policies aligned with security and compliance requirements
- Collaborate with Analytics Engineers and BI Developers to deliver consumption-ready semantic layer objects and reporting views that are accurate, performant, and reusable
- Leverage AI-assisted tooling (e.g., AI code assistants, automated anomaly detection, LLM-based documentation generation) to accelerate development, improve data quality, and reduce manual toil
- Participate in Agile sprint ceremonies, contribute to backlog refinement, and provide accurate effort estimates for data engineering work items
- Support evaluation and adoption of new tools and patterns in the modern data stack, providing evidence-based input on build/buy/adopt decisions
- Contribute to a culture of engineering excellence by writing clean, well-documented, testable code and participating in peer code reviews
Be Prepared - What You Bring - 10 plus years of professional experience in data engineering, analytics engineering, or a closely related discipline, with a track record of delivering production-grade pipelines and models
- Hands-on proficiency with SQL and Python; comfortable writing, reviewing, and debugging production code in both languages
- Practical experience with the modern data stack: cloud data warehouse (Databricks, Redshift, Snowflake, or equivalent), transformation frameworks (dbt or similar), orchestration (Airflow or equivalent), and ELT tooling (Fivetran, AWS Glue, or similar)
- Demonstrated experience building pipelines that ingest from SaaS enterprise applications (e.g., Salesforce, Oracle Fusion) via REST APIs, CDC, or batch patterns
- Working knowledge of data modeling concepts (dimensional, normalized, medallion/lakehouse) and the judgment to apply the right pattern for the right use case
- Familiarity with data governance fundamentals: RBAC, data lineage, metadata management, data quality frameworks, and access review processes
- Experience with AI/ML-adjacent workflows - preparing datasets for ML consumption, using AI coding assistants, or implementing automated anomaly detection - is a plus
- Proven ability to work effectively in an Agile environment, manage competing priorities, and communicate clearly with technical and non-technical stakeholders
- BS/BA in Computer Science, Information Systems, Data Science, Engineering, or a related field; equivalent practical experience considered
Be Successful - Your Path First 90 Days: Immerse in our culture, connect with mentors (Blox Buddies), and map the systems and meet with key stakeholders that rely on your work. Discuss and create short/long term goals.
Six Months: - Own and maintain at least two production data pipelines end-to-end, with documented SLAs, monitoring, and alerting in place
- Deliver a measurable improvement to data quality or pipeline reliability against a baseline established in your first 30 days
- Contribute dbt models or transformation logic that are peer-reviewed, tested, and certified for use by BI and analytics consumers
- Build strong working relationships with cross-functional partners (Finance, Sales Ops, Customer Success) and demonstrate a clear understanding of their data needs
One Year: - Be recognized as a reliable, high-quality contributor - pipelines you own run cleanly, documentation is current, and downstream consumers trust the data
- Identify and drive at least one initiative that reduces technical debt, improves platform efficiency, or accelerates time-to-insight for a business stakeholder
- Demonstrate growing fluency with AI-assisted development practices and contribute ideas for where automation or AI tooling can improve team productivity
- Actively participate in code reviews and knowledge-sharing, raising the technical floor of the broader data engineering team
Belong - Your Community Our culture thrives on inclusion, rewarding the bold ideas, curiosity, and creativity that move us forward. In a community where every voice counts, continuous learning is the norm. So, whether you code, create, sell, or care for customers, you'll grow and belong here.
Be Rewarded - Benefits That Help You Grow, Thrive, Belong - Comprehensive health coverage, generous PTO, and flexible work options
- Learning opportunities, career-mobility programs, and leadership workshops
- Sixteen paid volunteer hours each year, global employee resource groups, and a "No Jerks" policy that keeps collaboration healthy
- Modern offices with EV charging, healthy snacks (and the occasional cupcake), plus hackathons, game nights, and culture celebrations
- Charitable Giving Program supported by Company Match
- We practice pay transparency and reward performance. Offers reflect role location, internal equity, experience, skills, education, and certifications. Base salary for this position: $150,000 - $210,000 plus bonus
Ready to Be the Difference? #LI-HH1 #LI-Remote
