Jobs at SunnyData

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.

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.

Design, build, and operationalize scalable data solutions and pipelines for customers. Work across accounts to analyze data sources, apply transformations, ensure data governance/security/quality, test data movement, resolve incidents, and support AI/ML and BI use cases while educating end users.

Design, build, and maintain BI dashboards and reports (Power BI, Tableau, Databricks). Translate business requests into visualizations, optimize and write advanced SQL, create views/derived tables, perform data modeling and transformations, validate data accuracy, document metric logic, and collaborate with cross-functional teams to deliver accurate dashboards within SLAs.

Design, build, and operationalize scalable data solutions and pipelines for customers. Analyze and transform data, ensure data quality/governance/security, test data movements, troubleshoot incidents, and collaborate with teams to support AI/ML and BI use cases.

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, build and deploy data solutions to support AI, ML, and BI insights, while guiding customers and collaborating across teams.

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.

The Senior Data Engineer will design and deploy data solutions for customers, focusing on data pipelines, governance, and analytics, while collaborating with teams to support business outcomes in AI and ML applications.

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.

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.