Senior Staff Software Engineer, Data

Ovii's Interpretation of the Role

Senior Staff Software Engineer, Data leads the design and delivery of a modern, scalable data platform for Juniper Square. The role blends deep technical hands‑on work with architecture vision, AI‑ready data infrastructure, and cross‑team collaboration to enable self‑service analytics across the organization.

Role Snapshot

• Define end‑to‑end data and analytics architecture
• Lead platform modernization and standards
• Hands‑on development of batch, streaming and real‑time pipelines
• Build AI‑ready data infrastructure and vector stores
• Mentor senior engineers and data scientists
• Establish data governance, security and observability
• Drive cost‑effective cloud data operations

Must-Have Requirements

• Advanced degree in Computer Science, Engineering, or related field
• 15+ years data engineering / analytics engineering / data platform experience
• Data modeling (dimensional, star, Data Vault)
• Advanced SQL
• Python, Scala, or Java
• Cloud data services (AWS, Azure, GCP)
• Streaming frameworks (Spark, Flink, Beam)
• dbt / Cube semantic‑layer tools
• BI tools (Looker, Tableau, Power BI)
• Data governance and security best practices
• Data engineering
• Analytics engineering
• Data platform architecture

Nice-to-Have Signals

• AI/ML pipeline support experience
• Real‑time analytics and event‑driven architecture familiarity
• Semantic‑layer or metrics‑store implementation
• Background in high‑growth SaaS or data‑intensive orgs
• Experience with experimentation or product‑analytics platforms
• AI/ML pipeline support
• High‑growth SaaS environment
• Experimentation platforms

Work Setup

• Location: Americas (USA or Canada), United States
• Work mode: REMOTE
• Remote scope: COUNTRY_RESTRICTED
• Remote countries: United States, Canada
• Employment type: Full-Time

Eligibility Gates

• Visa sponsorship: unknown

Not Specified in JD

• Visa sponsorship
• Travel requirement
• Security clearance
• Coding test
• Portfolio
• GitHub
• Cover letter

What You'll Likely Work On

• Define and own the data and analytics architecture strategy
• Design scalable batch, streaming and real‑time data systems
• Establish modeling, semantic‑layer and reporting standards
• Prototype and ship core platform components while writing production‑grade code
• Create AI‑ready data services, vector stores and RAG‑ready pipelines
• Partner with product, finance and engineering to deliver trusted analytics
• Define governance, lineage, security and quality frameworks
• Set SLAs/SLOs, monitoring, alerting and incident response for the platform
• Mentor senior engineers, analytics engineers and data scientists
• Champion pragmatic AI adoption and a data‑driven culture

Good Fit If You Have

• Experience in high‑growth SaaS or data‑intensive companies
• Background building experimentation or product‑analytics platforms
• Familiarity with real‑time event‑driven architectures
• Passion for enabling AI/ML through data platforms