# Solutions Architect at SunnyData > Hybrid · Uruguay · Staff · Other · open. Source: https://alderhq.app/jobs/ashby%3ASunnyData%3A4cc4d4ee-357d-4cae-a78a-6412a0e8bd7c (read 2026-11-04). ## Facts (observed) - Company: [SunnyData](https://alderhq.app/companies/sunnydata) - Location text: Uruguay - Where it can be done from (inferred): Hybrid · Uruguay (evidence: "Location: Uruguay") - Posted: 2026-07-29 (98 days ago) - First seen by alder: 2026-11-03 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/SunnyData/4cc4d4ee-357d-4cae-a78a-6412a0e8bd7c - Skills listed (inferred): Python, Java, Scala, Kafka, Elasticsearch, AWS, GCP, Azure, Spark, dbt, SQL ## Pay and sponsorship - Posted pay: not posted ## Description (the employer's text) About SunnyData: At SunnyData, a leading Databricks technology partner, our mission is to empower customers with scalable architectures, robust data engineering pipelines, seamless data consumption layers, and advanced ML and AI applications. As a Solutions Architect, you will be instrumental in driving customer success, both in terms of technical execution and pre-sales support. ### The Impact You Will Have Customer Engagement: Serve as a trusted advisor to customers, guiding them through their data engineering and data architecture needs with a focus on Databricks solutions. In this role you will split your time evenly between billable and pre-sales activity. Technical Leadership: Design, build, and deploy comprehensive data solutions that capture, transform, and leverage data to support AI, ML, and business intelligence initiatives. Pre-Sales Support: Collaborate with sales teams to present technical solutions to prospective clients, demonstrating the value of SunnyData's offerings. Project Oversight: Manage multiple customer accounts, ensuring timely delivery of solutions and tracking progress to report outcomes. Solution Design: Architect data solutions, incorporating best practices in data governance, security, and quality. Data Analysis: Evaluate data sources for their value, recommending data inclusion strategies to enhance analytical processes. Cross-Functional Collaboration and Leadership : Lead internal teams, provide direction and mentorship to project teams to deliver solutions and educate end users on data products and analytic environments. Problem Resolution: Perform system analysis, assess and resolve data and system defects, and apply appropriate corrections. Quality Assurance: Test data movement, transformation code, and data components to ensure accuracy and reliability. ### Required Experience Experience: 7+ years as a hands-on Solutions Architect and/or Sr. Data Engineer designing and more recent experience implementing data solutions with a focus on DataBricks. Technical Proficiency: Expertise in Data Engineering technologies (e.g., Spark, Hadoop, Kafka), Databricks platform, and data science/machine learning technologies (e.g., pandas, scikit-learn). Architecture and leadership skills: In-depth understanding of the end to end data analytics workflow (e.g., data modeling, ETL processes, and data integration) using modern data engineering techniques; Ability to lead complex architecture requirements(discovery), solution design sessions and build out implementation architecture blueprints that can be implemented by data-engineering and analytics teams. Programming Skills: Proficiency in Java, Python, and/or Scala. Cloud Platforms: AWS, Azure, and/or GCP. SQL Expertise: Ability to write, debug, and optimize SQL queries. Client-Facing Skills: Strong written and verbal communication skills with experience in client-facing roles. Presentation Skills: Ability to create and deliver detailed presentations to clients and stakeholders. Documentation: Experience in creating detailed solution documentation including POCs, roadmaps, sequence diagrams, class hierarchies, and logical system views. Team Leadership: Experience leading teams and mentoring other engineers. End-to-End Solutions: Ability to develop end-to-end technical solutions into production, ensuring performance, security, scalability, and robust data integration. ### Preferred Experience Distributed Storage: Familiarity with cloud and distributed data storage systems such as S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL storage systems. Data Integration: Experience with data integration technologies like Spark, Kafka, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure DataFactory, and Informatica Intelligent Cloud Services (IICS). Software Development Lifecycle: Comprehensive experience with the complete software development lifecycle including design, documentation, implementation, testing, and deployment. Automated Pipelines: Expertise in automated data transformation and curation using tools like dbt, Spark, Spark streaming, and automated pipelines. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3ASunnyData%3A4cc4d4ee-357d-4cae-a78a-6412a0e8bd7c and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.