• Responsible for expanding and optimizing our data and data pipeline architecture. • Optimizing data flow and collection for cross functional teams. • Support our product owners, product analysts, data analysts and data scientists on data initiatives. • Ensure optimal data delivery architecture is consistent throughout ongoing work. • Engage with business stakeholders to establish clear needs and links to solutions, including setting up prototypes, and involving multiple parties in design sessions. • Create data collection, extraction, and transformation frameworks for structured and unstructured data. • Develop and maintain data infrastructure systems (e.g. data warehouses) including data access points. • Prepare and manipulate data using a variety of data integration and data pipeline tools including, but not limited to, Talend, SQL, Snowflake, Kafka, Azure Data Factory. • Create efficient load processes including logging and handling of exceptions, notification to support, and overall visibility operations. • Organize data into formats and structures that optimize reuse and efficient delivery to businesses and analytics teams and system applications. • Integrate data across data lake, data warehouse and systems applications to ensure the consistent delivery of information across the enterprise. • Accountable for efficient architecture and systems design. • Build and evolve the data service layer and engages the team to bring together components for a best-in-class customer offering.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role offers the opportunity to lead and shape the backend data systems that power large-scale partner programs, influencing how operations, workflows, and integrations function across the platform. You will take ownership of complex engineering projects from architecture to delivery, balancing technical leadership with hands-on coding. - Design APIs, data models, and workflows while mentoring a team of engineers. - Establish best practices for observability, testing, and scalability. - Collaborate with cross-functional teams including Product, Partnerships, Clinical Operations, and Data/AI to ensure systems operate reliably at scale. - Lead delivery of backend systems end-to-end, including technical specifications, phased migrations, and deprecation plans. - Design and implement services for configuration management, workflow orchestration, data validation, and system integrations. - Build and maintain APIs, data models, and domain logic with attention to versioning, backward compatibility, and error handling. - Collaborate on architecture, define domain boundaries, and establish coding standards and best practices. - Mentor and guide engineers through code reviews, pairing, and technical discussions to elevate team performance. - Define testing strategies, observability standards, and maintain robust runbooks for operational reliability. - Partner with Product, Clinical, and Partnerships teams to align technical solutions with business requirements and partner-facing needs. - Coordinate with Data and AI teams to integrate model outputs and advanced analytics into backend workflows. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical field. - 6+ years of backend engineering experience, including at least 2 years in a technical leadership role. - Strong proficiency in Python, ideally with FastAPI or other async frameworks, and experience shipping production services. - Deep relational database knowledge (PostgreSQL preferred), including schema design, indexing, query optimization, and migrations. - Experience designing, building, and maintaining APIs and complex data models for production systems. - Skilled in service-oriented and event-driven architectures with focus on idempotency, retries, and safe backfills. - Experience building systems with complex state machines, multi-step workflows, or orchestrated business processes. - Strong technical leadership, including scoping, risk management, and delivery planning for small teams (3–8 engineers). - Excellent communication skills to convey technical concepts to both engineers and non-technical stakeholders. - Familiarity with AI-assisted development tools and modern engineering workflows. Preferred - Healthcare, insurance, or enterprise SaaS experience with partner configuration, eligibility, or program matching systems. - Experience with GCP (Cloud Run, Cloud SQL, Pub/Sub) and cloud infrastructure fundamentals. - Exposure to configuration management systems, rules engines, or multi-tenant platform architecture. - Experience integrating ML outputs into backend services and HIPAA-compliant systems. Benefits - Competitive salary with potential performance-based incentives. - Comprehensive medical, dental, and vision insurance. - Flexible work arrangements and remote eligibility. - Professional development and mentorship opportunities. - Inclusive and diverse workplace culture with equal opportunity commitment. - Collaboration with cross-functional, mission-driven teams impacting health outcomes.

Job Description Zendesk’s mission is to make Customer Experience better—for every brand, every customer, every day. Data and analytics are at the core of this vision. The Zendesk Data Platform (ZDP) empowers more than 125,000 global brands with actionable insights, driving internal analytics and forming the launchpad for our customer-facing analytics solutions. We are seeking an exceptional Principal Engineer – Data Platform Architecture to own and shape the architecture of ZDP, ensuring it is performant, reliable, secure, and cost-optimized at scale. In this role, you will set technical direction for the ingestion, management, and consumption of data on our cloud-scale OLAP platforms, consult widely across teams, and lead the design for our next generation of Snowflake-based data infrastructure. This is a hands-on technical leadership position. You will architect high-impact data systems, advise on strategic trade-offs, and work alongside data, analytics, and product engineering groups to ensure world-class outcomes for Zendesk and our customers. What you get to do every day - Own the end-to-end architecture of the Zendesk Data Platform -- specifically the mission for ZDP to support internal analytics use-cases and for it to form the launchpad for our customer-facing analytics solutions. - Ensure that ZDP supports our strategic business needs while meeting standards for scalability, reliability, and cost-effectiveness. - Lead solution architecture for data ingestion, transformation, governance, and delivery—spanning batch, streaming, and near-real-time scenarios. - Serve as a technical authority on Snowflake, including advanced features such as Snowpark, Snowpipe, Cortex etc. - Advise product and engineering leads on data modeling, access policies, and query optimization strategies to enable faster analytics and resilient pipelines. - Establish engineering best practices for cost monitoring, performance tuning, security, and regulatory compliance across all Data Platform services. - Guide teams in making architectural trade-offs between compute frameworks (e.g., assessing migration from Spark to Snowflake-native compute), storage design, clustering strategies, and pattern optimizations. - Act as a cross-functional consultant—communicating complex architecture to both technical and non-technical stakeholders, mediating divergent viewpoints, and driving alignment on long-term data platform direction. - Ensure that all architectural decisions align with requirements for privacy, auditability, governance, and Zendesk’s standards for operational excellence. - Provide mentorship to staff and senior engineers, cultivating a culture of technical rigor, growth, and collaboration. What you bring to the role - 10+ years of experience in large-scale data engineering or analytics infrastructure roles, with at least 3 years at principal or staff-level solution architecture. - Deep hands-on expertise with Snowflake, including architecture, implementation, performance optimization, and advanced features (Snowpark, Snowpipe, Cortex, Native Apps, external functions, secure sharing). - Extensive practical knowledge of OLAP warehousing concepts, modern data modeling strategies (e.g., star/snowflake, wide-table, normalized schemas), and design for cost-effective, performant analytics. - Strong architectural judgment across ETL/ELT, batch and streaming, real-time pipelines, and data access patterns. - Demonstrated ability to lead technical design reviews, drive technical alignment across multiple engineering teams, and influence data & analytics product strategy. - Experience optimizing for multi-instance architectures, with a clear understanding of compliance, privacy, and data lifecycle management in a cloud platform context. - Fluency in SQL and data engineering languages (Python, Javaor similar). - Ability to navigate and influence in a complex, matrixed organization—translating technical depth into strategic direction for diverse stakeholders. - Familiarity with regulatory frameworks and audit/compliance implications for enterprise data platforms (e.g., SOC 2, GDPR, HIPAA). Preferred Qualifications - Hands-on architectural leadership migrating or evolving enterprise-scale data platforms to cloud-native OLAP solutions (Snowflake, BigQuery, Redshift, etc). - Experience integrating Snowflake with event-driven architectures (Kafka, Kinesis, Pub/Sub). - Prior experience with customer-facing analytics products and platform integration challenges. - Contributions to internal or external data platform communities and thought leadership. If you’re passionate about building world-class data platforms and want to define the analytics foundation driving the next generation of Customer Experience, we want to hear from you. #LI-GH The US annualized base salary range for this position is $228,000.00-$342,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives. The intelligent heart of customer experience Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love. Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week. As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law. Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here. Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role is pivotal in designing, implementing, and deploying enterprise-level data management, analytics, and AI solutions. You will leverage cutting-edge technologies, including Microsoft Fabric and AI Foundry, to enhance our data capabilities. Expect to work collaboratively across various teams to ensure seamless delivery of robust and compliant solutions. Your expertise will not only contribute to our projects but also drive significant impacts in our operational effectiveness and innovation. - Design and implement enterprise-scale data management, analytics, and AI capabilities using Microsoft technologies. - Collaborate with teams to define data and AI roadmaps aligning with business objectives. - Develop reference architectures and patterns for data services and AI applications. - Shape data service standards and contribute to project planning and execution. - Provide technical leadership and mentorship to teams. - Coordinate integration with third-party systems and support vendor evaluations. Qualifications - 7+ years of experience in data engineering, analytics engineering, or AI application development. - Deep understanding of data modeling frameworks like Kimbal and Lakehouse Architecture. - Expertise in Microsoft Fabric and AI Foundry technologies. - Proficiency in SQL, Python, and KQL with experience in performance tuning. - Ability to implement retrieval-augmented generation pipelines and secure data applications. - Excellent communication skills to explain complex technical topics to diverse audiences. Benefits - Competitive salary range of $140,000 to $170,000 annually. - Work remotely with flexible hours. - Opportunities for professional development and training. - Collaborative and innovative work environment. - Access to the latest tools and technologies in the field.