[All remote jobs](https://jobicy.com/jobs.md)[![Juniper Square logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2022/01/90c359a8bed816e81ea39fa33a8314f3.png)](https://jobicy.com/company/juniper-square.md)[Juniper Square](https://jobicy.com/company/juniper-square.md) # Senior Staff Software Engineer, Data Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/juniper-square.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md), [Canada](https://jobicy.com/job-region/canada.md)SalaryUSD 235k–285k / yrDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceDirectorPublished25 Oct 2026Apply before24 Nov 2026Listing views37Application actions3Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Juniper Square seeks a Senior Staff Software Engineer to lead the evolution of its data engineering and analytics capabilities into a scalable, product-oriented data platform. The role combines hands-on architecture and coding with technical leadership across batch, streaming, real-time analytics, governance, and self-service data products. The engineer will build AI-ready data infrastructure, including semantic layers, vector stores, embedding pipelines, retrieval systems, and RAG-ready architectures. Success requires influencing executives and cross-functional teams while mentoring senior technical contributors and setting platform reliability, security, and operational standards. This is a senior individual-contributor leadership position for an expert in cloud data systems and modern analytics platforms. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThe role requires 15+ years of relevant experience and ownership of enterprise-wide data platform strategy as well as implementation. It spans highly complex distributed data systems, AI enablement, governance, executive influence, and mentoring. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$260,000US market range (per year)$220k–$310k0$341k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a U.S. base-salary range of $235,000–$285,000 USD. Although the posting does not explicitly state the cadence, yearly compensation is inferred from the stated U.S. senior-staff-level base-pay amounts and full-time role context. The midpoint is $260,000 per year; the estimated U.S. market range for a senior staff data-platform engineering leader is $220,000–$310,000 annually, excluding equity and benefits. ## Core skills Skills and capabilities most closely associated with this opportunity. [Data platform architecture](https://jobicy.com/jobs?search_keywords=Data%20platform%20architecture.md)[Data engineering](https://jobicy.com/jobs?search_keywords=Data%20engineering.md)[Cloud data services](https://jobicy.com/jobs?search_keywords=Cloud%20data%20services.md)[Data modeling](https://jobicy.com/jobs?search_keywords=Data%20modeling.md)[Semantic layers](https://jobicy.com/jobs?search_keywords=Semantic%20layers.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Apache Spark](https://jobicy.com/jobs?search_keywords=Apache%20Spark.md)[Apache Flink](https://jobicy.com/jobs?search_keywords=Apache%20Flink.md)[Streaming data pipelines](https://jobicy.com/jobs?search_keywords=Streaming%20data%20pipelines.md)[Data governance](https://jobicy.com/jobs?search_keywords=Data%20governance.md)[Data quality](https://jobicy.com/jobs?search_keywords=Data%20quality.md)[Business intelligence](https://jobicy.com/jobs?search_keywords=Business%20intelligence.md)[RAG architecture](https://jobicy.com/jobs?search_keywords=RAG%20architecture.md)[Vector databases](https://jobicy.com/jobs?search_keywords=Vector%20databases.md) Sample interview questionsHow would you evolve a project-based data engineering function into a product-oriented data platform organization?I would begin by identifying common data capabilities and high-value consumer journeys, then define platform products such as ingestion, transformation, semantic modeling, governance, and observability. I would establish clear ownership, service-level objectives, reusable interfaces, and an adoption roadmap that delivers incremental value while reducing duplicated team-specific solutions. How do you design a data architecture that supports both trusted analytics and LLM or agentic workflows? I would create governed canonical datasets with strong lineage, quality checks, access controls, and business metadata. A semantic layer would expose consistent metrics and entity definitions, while embedding and retrieval pipelines would index approved content with permissions-aware retrieval, monitoring, and evaluation processes. Describe your approach to selecting between batch, streaming, and real-time processing patterns. I start with business freshness requirements, data volume, ordering and correctness needs, operational cost, and recovery expectations. Batch is appropriate for many analytical workloads, while streaming is justified where low-latency event processing or continuous state is needed; I use consistent schemas, observability, and idempotent processing across both. How would you improve reliability and cost efficiency for a rapidly growing cloud data platform? I would define SLOs for freshness, availability, and accuracy, then instrument pipelines and query workloads with actionable monitoring. Cost optimization would include workload right-sizing, partitioning and clustering, lifecycle policies, efficient transformation design, concurrency management, and regular review of spend against measurable business value. How do you lead architectural decisions while remaining hands-on with engineering work? I make architectural principles and tradeoffs explicit, use design reviews to align stakeholders, and prototype high-risk components where direct technical validation is valuable. I remain involved in code and schema reviews while delegating ownership, mentoring senior engineers, and ensuring decisions connect clearly to customer and business outcomes. Opportunity details ## About this role. ### About Juniper Square Private markets are one of the largest, most complex, and most underserved corners of global finance. Our mission at Juniper Square is to unlock their full potential. We’re the Operations Partner trusted by 2,300+ GPs, unifying technology, data, and fund administration services into a single platform that helps GPs move faster, make better decisions, and scale with precision. With $300B+ under administration and 700,000+ LPs on platform, we’ve built the scale to match our ambition. And with JunieAI, our purpose-built AI platform, we’re reimagining how private markets operate, embedding intelligence across every workflow. Founder-led since 2014, backed by $350M+ in funding, and now 1,000+ employees strong, we’re building a company designed to shape the future of private markets for decades to come. Our culture is built for people who want to do ambitious, meaningful work alongside exceptionally talented teammates. We think like owners, move with urgency, and take pride in solving hard problems that truly matter to our customers and the future of private markets. We believe the best ideas come from open debate, deep collaboration, and diverse perspectives, which is why we believe transparency is the default and feedback makes us stronger. If you’re energized by high standards, rapid growth, and the opportunity to help define a category at a pivotal moment, come join us! Juniper Square offers employees a variety of ways to work, ranging from a fully remote experience to working full-time in one of our physical offices. We invest heavily in [digital-first](https://blog.junipersquare.com/juniper-square-ponders-future-of-office-with-digital-first-hybrid-workplace-strategy/) operations, allowing our teams to collaborate effectively across 27 U.S. states, 2 Canadian Provinces, India, Luxembourg, and England. We also have physical offices in San Francisco, New York City, Mumbai and Bangalore for employees who prefer to work in an office some or all of the time. ### About your role We are seeking a Senior Staff Software Engineer to lead the transformation of our current data engineering and analytics function into a modern, scalable, product-oriented Data Platform organization. You will define the vision, architecture, operating model, and execution roadmap required to evolve from project-based data delivery to a platform that enables self-service, reliable, governed, and analytics-ready data across the company. This is a deeply hands-on leadership role for a technical expert who actively designs systems, prototypes solutions, reviews code, and guides teams through complex challenges. You will modernize our data stack, establish platform standards, introduce best practices for reliability and governance, and enable teams across the business to build data products efficiently and safely. In addition to platform transformation, you will ensure the data ecosystem delivers high-quality analytics and actionable insights. You will define architecture across ingestion, processing, modeling, semantic layers, analytics, and AI/ML enablement, ensuring data is trustworthy, accessible, secure, and performant. You will work closely with engineering leadership, product teams, analytics, and executive stakeholders to align technology strategy with business outcomes, mentor engineers, and build a data-driven culture. Success in this role means not only delivering a modern platform but also elevating the team’s capabilities, processes, and ways of working to operate as a true Data Platform organization. ### What you’ll do Architecture & Technical Leadership * Define and own the end-to-end data and analytics architecture strategy * Design scalable batch, streaming, and real-time data systems * Establish standards for data modeling, semantic layers, and reporting * Lead architecture reviews and technical decision-making * Drive adoption of modern architectures (lakehouse, data mesh, real-time analytics) Hands-On Engineering * Design and prototype critical data platform components * Write production-quality code for complex or high-impact areas * Review schemas, transformations, dashboards, and analytics models * Troubleshoot performance and reliability issues across pipelines and queries * Optimize workloads for latency, concurrency, and cost Data Platform & Pipeline Ownership * Design and architect a scalable data platform supporting ingestion, transformation, and delivery of both structured and unstructured data across batch and real-time pipelines. * Design a “Data for Agents” strategy, ensuring our data warehouse is structured with the semantic layers and metadata necessary for LLMs to navigate it accurately. * Build AI-ready data infrastructure, including vector stores, embedding pipelines, and retrieval systems that power LLM and agentic workflows. * Develop a RAG-ready data architecture that enables trusted enterprise data retrieval with strong lineage, governance, security, and observability. * Create curated data products and reusable APIs that make high-quality datasets easily consumable by applications, analytics platforms, and AI agents. * Enable self-service data access for engineering, analytics, and business teams through standardized models, semantic layers, and platform capabilities. * Partner with AI, product, and engineering teams to support training datasets, feature stores, and production AI inference pipelines. * Build agentic ETL/ELT pipelines that use AI agents to autonomously discover sources and generate transformations. * Ensure reliability, scalability, and resilience of the platform, including high availability, monitoring, and disaster recovery readiness. Analytics & Business Intelligence * Partner with product, finance, business operations, and leadership teams to define analytics needs * Design scalable data models for reporting and advanced analytics * Ensure analytics solutions are performant, trustworthy, and easy to use * Drive adoption of data-driven culture through reliable insights Governance, Quality & Security * Define data governance, lineage, cataloging, and metadata standards * Establish data quality frameworks and validation processes * Ensure privacy, compliance, and secure access to sensitive data * Implement role-based access controls and auditability Leadership & Collaboration * Mentor senior engineers, analytics engineers, and data scientists * Partner with product, ML, platform, and business teams * Translate business questions into scalable data solutions * Influence roadmaps using data platform and analytics considerations * Act as the executive technical authority for data and analytics Operational Excellence * Define SLAs/SLOs for data availability, freshness, and accuracy * Establish monitoring, alerting, and incident response processes * Optimize cloud costs and query performance * Support capacity planning for data growth Culture & Enablement * Be an evangelist for pragmatic AI adoption. * Help establish a culture of outcome-driven innovation. ### Qualifications Required * Advanced degree in Computer Science, Engineering, or related field * 15+ years in data engineering, analytics engineering, or data platform roles * Proven experience architecting large-scale data and analytics systems * Strong hands-on experience with modern data stacks in cloud environments * Deep expertise in data modeling for analytics (dimensional, star/snowflake, Data Vault, etc.) * Advanced SQL skills and proficiency in Python, Scala, or Java * Advanced expertise in dimensional data modeling and semantic layers (e.g., dbt, Cube) to provide “agent-readable” context. * Expertise in real-time streaming frameworks such as Spark, Flink, or Beam. * Experience building reporting and BI solutions at scale * Strong understanding of both batch and real-time architectures * Hands-on experience with AWS, Azure, or GCP data services * Experience with BI tools (e.g., Looker, Tableau, Power BI, etc.) * Strong understanding of data governance and security best practices * Ability to operate at both executive and deeply technical levels Nice to Have * Experience supporting AI/ML pipelines and feature engineering * Familiarity with real-time analytics and event-driven architectures * Experience implementing semantic layers or metrics stores * Background in high-growth SaaS or data-intensive organizations * Experience with experimentation platforms or product analytics ### Compensation Compensation for this position includes a base salary, equity and a variety of benefits. The U.S. base salary range for this role is $235,000 – $285,000 USD. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. Benefits include: * Health, dental, and vision care for you and your family * Life insurance * Mental wellness coverage * Fertility and growing family support * Flex Time Off in addition to company paid holidays * Paid family leave, medical leave, and bereavement leave policies * Retirement saving plans * Allowance to customize your work and technology setup at home * Annual professional development stipend Your recruiter can provide additional details about compensation and benefits. #LI-TG1 Show more [Apply now >](https://jobicy.com/jobs/156905-senior-staff-software-engineer-data.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. 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