Jobs at SunnyData

The Senior Business Analyst collaborates with clients to identify business needs, designs architectures, leads workshops, and bridges strategy and technical execution, ensuring successful project implementation.

As a Senior Business Analyst, you will collaborate with clients, design business architectures, identify opportunities in data and AI, and ensure successful implementation of solutions.

As a Senior Business Analyst, you will collaborate with clients to drive business value by ensuring effective data solutions, conducting analyses, and leading stakeholder engagement efforts.

Lead full‑stack development of scalable data and analytics platforms using .Net backend and Angular frontend. Drive architecture decisions, implement CI/CD and TDD practices, collaborate with designers and stakeholders, integrate cloud services, and deliver large‑scale, microservices‑based products.

Lead Fullstack Developer responsible for designing and building scalable full-stack solutions using .Net and Angular, championing TDD and CI/CD, collaborating with designers and stakeholders, driving architecture and technical strategy, and delivering large-scale products on cloud platforms.

Lead development of scalable full-stack data platforms using .Net and Angular. Champion TDD and CI/CD, design microservices and event-driven architectures, collaborate with UI/UX and stakeholders, drive technical strategy, and integrate cloud and Databricks-based solutions.

Design, build, and operationalize scalable data solutions and pipelines for customers. Support data ingestion, transformation, quality, governance, and analytics to enable AI/ML and BI. Troubleshoot defects, test data flows, collaborate across teams, and advise customers on technical decisions and best practices.

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.

As a Solutions Architect, you will guide customers through data engineering needs, design data solutions, oversee projects, and drive customer success by providing technical and pre-sales support.

As a Senior Data Engineer, you will design, build, and deploy data solutions, guide customers, and ensure data quality and governance.

As a Solutions Architect, you will lead customer engagements, design data solutions, provide pre-sales support, manage projects, and ensure data quality while leveraging Databricks and various data engineering technologies.

As a Senior Data Engineer, you will design and deploy data solutions, enhance data quality, and collaborate with customers and teams to support data engineering needs.

As a Senior Data Engineer at SunnyData, you'll design and build data solutions, support customers, and implement data governance while managing complex data workflows.

As a Senior Data Engineer, you will design, build and deploy data solutions to support AI, ML, and BI insights, while guiding customers and collaborating across teams.

The Analytics (BI) Engineer will create and maintain BI dashboards, optimize SQL queries, and ensure data accuracy for reporting purposes.

The Analytics Engineer will develop and maintain dashboards, optimize queries, perform data modeling, and ensure data accuracy for reporting needs.

The Analytics Engineer will build and maintain reports and dashboards using BI tools, perform data modeling, and ensure data accuracy while collaborating with teams.

Lead design, development, and deployment of production ML models; work with large datasets; build predictive pipelines; collaborate on cloud data architectures; implement MLOps/CI-CD; mentor junior staff and communicate results to stakeholders.

Lead design, development, and deployment of production ML models; work with large datasets to build predictive pipelines; collaborate with data engineers on cloud architectures; implement MLOps and CI/CD for model operationalization; mentor junior staff and communicate insights to stakeholders.

Lead design, development, and deployment of production ML models. Work with large datasets to build predictive pipelines, collaborate with data engineers on cloud architectures, automate MLOps/CI-CD, mentor junior staff, and communicate insights to stakeholders to inform business decisions.