Top Tech Jobs & Startup Jobs

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.

Drive execution of technical projects by coordinating meetings, tracking action items and risks, facilitating cross-functional communication, supporting agile ceremonies, and ensuring stakeholders stay aligned to deliver data and ML/AI solutions.

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.

Design and deliver Databricks-centric data architectures, lead pre-sales and billable engagements, build end-to-end data engineering pipelines for AI/ML and BI, mentor teams, ensure data governance/security/quality, and resolve data system issues while producing solution documentation and presentations.