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 Data Engineer, you will design and operationalize data solutions, support customers in data needs, analyze data sources, and ensure data governance and quality.

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 Data Engineer at SunnyData, you will design and build data solutions, support customers, and ensure data quality and governance while working with cloud platforms.

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 Data Engineer at SunnyData, you'll design and deploy data solutions, support customers, analyze data sources, and ensure data quality.

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

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

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

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.

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

The role involves collaborating with clients to meet business needs, develop business architectures, enhance processes using data and AI, and lead stakeholder workshops. The ideal candidate has extensive experience in business analysis, strong SQL skills, and proficiency in visualization tools.

Own and grow a portfolio of Financial Services accounts as a trusted C-level advisor. Drive commercial strategy, renewals, and expansions; govern delivery outcomes, manage escalations, and ensure value realization through Databricks-led data, analytics, and cloud initiatives. Facilitate QBRs, lead account planning, and coordinate partners while meeting revenue, margin, and NPS targets.

As a Senior Data Engineer, you will design and deploy data solutions, support customers, analyze data sources, and ensure data quality.

The Account Executive drives sales in financial services, collaborating with partners, managing client relationships, and achieving revenue goals through consultative selling and strategic engagement.