📍 Mexico • 🏠 Remote
Solutions Architect & Country Manager
About SunnyData
At SunnyData, our mission is to help customers build a highly scalable architecture, robust data engineering pipelines, easy data consumption layers, and, more importantly, build ML and AI applications to power their business and drive outstanding business outcomes.
The Role
As a Solutions Architect and Country Manager, you will be instrumental in driving customer success, both in terms of technical execution and pre-sales support. You will lead operations, drive growth, and help build a high-performing local team in Mexico.
The Impact You'll 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.
What We’re Looking For
Bachelor's Degree in Computer Science or an engineering-related field.
7+ years as a hands-on Solutions Architect and/or Sr. Data Engineer, designing and (more recently) implementing data solutions with a focus on Databricks.
Expertise in Data Engineering technologies (e.g., Spark, Hadoop, Kafka), Databricks platform, and data science/machine learning technologies (e.g., pandas, scikit-learn).
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 create and deliver detailed presentations to clients and stakeholders.
Experience leading teams and mentoring other engineers.
Strong English verbal and written communication skills.
Experience in creating detailed solution documentation, including POCs, roadmaps, sequence diagrams, class hierarchies, and logical system views.
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.
Entrepreneurial mindset, comfortable working in dynamic environments.
✨ Nice to Have
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.
Workflow Management: Experience with workflow management and orchestration tools like Airflow, AWS Managed Airflow, Luigi, and NiFi.
Certifications (at least 2 of the following): Associate Developer for Apache Spark; Data Engineer Associate; Professional Data Engineer; Machine Learning Associate; Professional ML Engineer.
Our Commitment to Diversity and Inclusion
At SunnyData, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at SunnyData are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
☀️ Why Join SunnyData?
Innovative Environment: Work with cutting-edge technologies and industry leaders in data engineering and AI.
Customer Impact: Make a real difference in how businesses leverage data for strategic decision-making.
Career Growth: Opportunities for professional development and career advancement.
Collaborative Culture: Join a supportive team that values collaboration and knowledge sharing.
If you are passionate about data engineering and enjoy engaging with clients to solve their most challenging problems, we would love to hear from you. Apply today and become a key player in SunnyData's success story.