Jobs at SunnyData

Owns the commercial health and client relationships for Databricks data and AI engagements. Responsibilities include managing budgets, margins, forecasts, scope changes, executive stakeholders, steering committees, delivery transitions, business outcomes, close-outs, and follow-on opportunities. Partners with Sales, project managers, solutions architects, and technical leaders to deliver measurable client value across data engineering, lakehouse, governance, BI, and AI initiatives.

Manage the full enterprise sales cycle, from prospecting and pipeline development through deal closure and account expansion. Build relationships with executives and decision-makers, run multichannel campaigns, develop pursuit strategies, coordinate with partners and internal teams, maintain accurate forecasts, and achieve revenue targets for data engineering, platform modernization, and AI/ML consulting services.

Drive enterprise sales across the full sales cycle, from prospecting and pipeline development through deal closure and account expansion. Build relationships with executives and decision-makers in financial services, collaborate with Databricks, Azure, and Fivetran partners, develop pursuit strategies, coordinate with delivery and customer success teams, and maintain accurate forecasting while selling data engineering, platform modernization, and AI/ML consulting services.

Drive the full enterprise sales cycle for data engineering, platform modernization, and AI/ML consulting services. Build pipeline through prospecting, outreach, networking, campaigns, and events; develop pursuit strategies; close complex deals; and expand strategic partnerships. Own executive client relationships, coordinate sales, delivery, customer success, solutions engineering, and marketing, while maintaining accurate forecasts and achieving revenue targets.

Works with clients to understand business objectives, design data-driven business architectures, identify AI and process-improvement opportunities, and translate requirements into technical solutions. Leads workshops, aligns stakeholders, conducts gap analyses, supports data governance, and collaborates with technical teams on delivery. The role also develops reusable frameworks, identifies client growth opportunities, and quantifies business value and ROI.

Build and maintain dashboards, reports, database views, and analytical data models using BI tools and SQL. Translate business requirements into accurate visualizations, optimize queries and dashboards, validate data across systems, document metrics, and improve warehouse structures. The role also involves client-facing collaboration, defining reporting standards, supporting junior team members, and delivering reliable reporting solutions within agreed SLAs.

Designs, builds, deploys, and operationalizes scalable data engineering solutions for customers. Responsibilities include Databricks migrations, data transformation, quality, governance, security, testing, performance optimization, defect resolution, and data platform analysis. The role collaborates with customers and internal teams, supports multiple accounts, advises on technical decisions, and educates users on data products and analytics environments.

Designs and implements Databricks-centered data architectures, engineering pipelines, analytics environments, and AI/ML solutions. Advises customers, supports pre-sales engagements, leads discovery and solution design, oversees projects, analyzes data sources, resolves system defects, and ensures quality, security, scalability, and performance. The role also mentors engineers, leads delivery teams, creates technical documentation and presentations, and guides solutions through production deployment.

Own global accounting close and consolidation across US and international entities, including intercompany eliminations, multi-currency reporting, internal controls, transfer pricing, audits, tax compliance, treasury, budgeting, and forecasting. Manage the Uruguay accounting team and outsourced providers while building scalable, audit-ready finance processes for a fast-growing professional services and technology consulting business.

Build and maintain BI dashboards, reports, SQL objects, data models, and transformations. Translate business requests into accurate visualizations, optimize query and dashboard performance, validate data across systems, and document metrics and assumptions. The role also supports warehouse improvements, establishes reporting standards, collaborates with cross-functional teams, and mentors junior team members.

Build and maintain BI dashboards, reports, SQL objects, data models, and transformations. Translate business requirements into accurate visualizations, optimize queries and dashboards, validate data, document metrics, and improve reporting consistency. Collaborate with cross-functional teams, define KPI standards, support data warehouse organization, and mentor junior team members.

Designs and delivers Databricks-based data engineering, analytics, AI, and ML solutions for financial services clients. Combines hands-on architecture and implementation with presales support, customer presentations, project oversight, data analysis, quality assurance, documentation, and team mentoring. Requires expertise in modern data platforms, cloud environments, programming, SQL, data integration, governance, security, and scalable production delivery.

Own and grow strategic Financial Services accounts through executive relationship management, consultative selling, renewals, and expansion. Lead commercial strategy, SOWs, negotiations, QBRs, delivery governance, escalations, and value realization. Coordinate delivery, sales, solutions, cloud, and Databricks partners while managing scope, budgets, timelines, margins, retention, profitability, and customer satisfaction. Translate Databricks, data engineering, analytics, ML, AI, and cloud transformation capabilities into measurable business outcomes.

Lead customer engagements combining hands-on data architecture and engineering with presales support. Design, build, deploy, test, and troubleshoot Databricks-based data, AI, ML, and business intelligence solutions. Advise clients on governance, security, quality, integration, and scalability; oversee projects, present solutions, document architectures, mentor engineering teams, and support production deployments. Financial services and banking experience are preferred.

Designs, builds, deploys, and operationalizes scalable data engineering solutions for customers. Responsibilities include developing data pipelines, transformations, data quality and governance solutions, analyzing data sources, testing data movement, resolving defects and incidents, and supporting AI, machine learning, and business intelligence initiatives. The role also involves technical customer guidance, cross-account progress tracking, collaboration, and end-user education.

Coordinate technical project meetings, agile ceremonies, logistics, action items, dependencies, risks, and deadlines. Facilitate communication among technical teams, clients, and stakeholders while supporting lightweight agile practices and delivery momentum. The role requires strong stakeholder management, organization, analytical problem-solving, communication, and technical acumen, with experience supporting data or software projects in agile environments.

Designs, builds, deploys, and operationalizes scalable data engineering solutions using Databricks. Responsibilities include data transformation, migration, quality, governance, security, performance optimization, testing, incident resolution, and analytics enablement. The role advises customers, manages multiple accounts and projects, collaborates across teams, and educates users on data products and analytical environments. Requires strong SQL and PySpark skills, cloud experience, consulting experience, and leadership capabilities.

Designs, builds, deploys, and operationalizes complex data engineering solutions for multiple customers. Responsibilities include Databricks migrations, data pipeline development, transformations, optimization, governance, security, quality, testing, incident resolution, and data source analysis. The role also involves advising customers, tracking project progress, collaborating across teams, and educating users on data products and analytics environments.

Design, build, deploy, and operationalize scalable data engineering solutions using Databricks. Advise customers on technical decisions, migrations, data quality, governance, security, performance optimization, and analytics environments. Analyze data sources, develop transformations, test pipelines, resolve incidents, track customer projects, and collaborate with internal teams and end users to deliver data products supporting AI, machine learning, and business intelligence.

Design, build, deploy, and operationalize scalable data engineering solutions for customers. Responsibilities include developing pipelines, transforming and cleansing data, analyzing sources, implementing governance, security, and quality practices, testing data movement and transformation code, resolving defects and incidents, and advising customers on technical decisions. The role also supports AI, machine learning, business intelligence, and data product adoption while collaborating across teams and educating end users.