Jobs at SunnyData

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.

Leads end-to-end technical recruiting across LATAM, sourcing and hiring Data and AI professionals. Coaches recruiters, distributes requisitions, tracks recruiting metrics, partners with hiring managers, evaluates technical candidates, and improves recruiting processes. The role requires recruiting leadership, strong candidate relationship management, technical screening capability, advanced English, and experience hiring across multiple LATAM countries.

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 logistics, meetings, agile ceremonies, action items, dependencies, deadlines, stakeholder communication, and risk resolution. Facilitate collaboration among engineers, technical leads, clients, and business stakeholders while promoting lightweight agile practices. The role supports data and software projects, requiring strong organization, communication, problem-solving, technical acumen, and stakeholder management skills.

Coordinates technical project execution by organizing meetings and agile ceremonies, tracking action items, dependencies, risks, and deadlines, and facilitating communication among technical teams and clients. Supports lightweight agile practices, stakeholder alignment, problem-solving, and delivery momentum across data, software, analytics, ML, and AI projects.

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.

Collaborates with clients to define business needs, designs data and business architectures, identifies data and AI opportunities, and translates requirements into technical specifications. Leads workshops, gap analyses, stakeholder alignment, governance improvements, and solution implementation. Develops delivery frameworks and accelerators while supporting client relationship growth and quantifying business value and ROI.

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.

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.

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 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.