Jobs at SunnyData

Build scalable full-stack software products and data-driven platforms using modern backend and frontend technologies. Design distributed systems, microservices, and event-driven architectures; establish technical strategies and roadmaps; apply testing, CI/CD, monitoring, and cloud engineering practices. Collaborate with engineers, product owners, analysts, and stakeholders, engage with clients, and mentor junior developers while delivering large-scale products through agile methodologies.

Build and deliver scalable full-stack software products using Java, Python, JavaScript, and TypeScript. Develop backend services, front-end applications, distributed systems, microservices, and event-driven architectures. Apply automated testing, CI/CD, monitoring, and cloud engineering practices across AWS or Azure environments. Drive technical strategy and architectural decisions, collaborate with engineers, product owners, analysts, and stakeholders, deliver agile projects, and mentor junior team members.

Lead global accounting for a multi-entity, multi-currency services business: own month-end close and consolidation, design internal controls, manage intercompany/transfer pricing, coordinate audits and tax compliance, support cash/treasury and forecasting, and manage accounting staff and external partners to scale finance operations.

Lead customer engagements and pre-sales for Databricks-based data platforms. Architect and deliver end-to-end data engineering solutions supporting BI, ML/AI, and analytics; manage multiple accounts, mentor teams, ensure data quality, governance, and production readiness, and produce technical documentation and presentations.

Design and deliver scalable, secure data platforms and architectures (Databricks/cloud) for customers; lead pre-sales, project delivery, data governance, security, DevOps, and mentoring; build and validate end-to-end data solutions.

Design and deliver scalable, secure data platforms and architectures (Databricks/cloud) for customers. Split time between billable and pre-sales, lead solution design, mentor teams, ensure data governance and security, validate ETL/data pipelines, produce documentation and presentations, and manage multiple customer accounts to deliver production-ready data solutions.

Design and implement scalable, secure cloud data platforms (Databricks) for analytics and ML. Provide pre-sales support, lead architecture and delivery, mentor teams, ensure data governance, security, and reliable ETL pipelines.

Design and deliver scalable, secure data platforms and architectures on cloud infrastructure (Databricks-focused). Split between pre-sales and billable customer engagement, lead solution design, mentor teams, ensure data governance/security, implement ETL/data engineering pipelines, troubleshoot issues, and produce documentation and presentations for stakeholders.

Design, build, and operationalize scalable data solutions for customers; ingest, transform, test, and troubleshoot data pipelines; ensure data governance, security, and quality; support AI/ML and BI use cases; manage multiple customer accounts, track progress, and educate end users across teams.

Design and build scalable full-stack data-focused applications using Node.js and React. Implement microservices, REST APIs, cloud deployments (AWS/Azure), CI/CD, automated testing, and collaborate with designers and stakeholders to deliver large-scale products.

Build scalable full-stack solutions using Node.js and React, design microservices and event-driven architectures, apply TDD and CI/CD, collaborate with designers and stakeholders, and drive technical strategy for large-scale data-driven products on cloud platforms.

Build scalable full-stack applications using Node.js and React; design microservices and event-driven architectures; implement TDD and CI/CD pipelines; collaborate with designers and stakeholders to deliver large-scale data-driven products on cloud platforms (AWS/Azure).

Manage consultant staffing, utilization, and deployment across delivery teams. Own capacity planning, demand forecasting, utilization reporting, bench management, stakeholder coordination, and engagement transitions to minimize bench time and support delivery.

Manage and maintain partner portals and program compliance, track pipeline and joint opportunities, gather data across teams, and support partnership strategy and reporting. Serve as the day-to-day operational owner for partner records, certifications, and performance metrics to enable partner-driven growth.

Design and deploy end-to-end data architectures on Databricks, split between billable delivery and pre-sales; lead client engagements, mentor teams, manage accounts, ensure data governance, quality, security, and production readiness, and deliver technical documentation and presentations.

Design, build, and operationalize data solutions for customers. Support data ingestion, transformation, quality, governance, and testing. Collaborate with teams, analyze sources, troubleshoot incidents, and guide customers on technical decisions to enable BI, ML/AI, and analytics.

Design and implement Databricks-centered data architectures and pipelines, support pre-sales technical efforts, lead client engagements, mentor teams, ensure data governance/security, and deliver production-ready ETL/ML solutions.

Design, build, and operationalize scalable data solutions for customers; support data ingestion, transformation, quality, governance, and analytics to enable AI/ML and BI. Troubleshoot, test pipelines, collaborate with teams, and guide customers on technical decisions.

Design, build, and operationalize complex data solutions for customers. Support data ingestion, transformation, cleansing, governance, and testing. Collaborate across teams, troubleshoot data incidents, guide technical decisions, and enable AI/ML and BI workloads while tracking customer account progress.

As a Solutions Architect, guide customer data architecture needs, design and implement data solutions on Databricks, manage multiple accounts, and collaborate with sales teams while ensuring data governance and quality.