Note: The job is a remote job and is open to candidates in USA. SunnyData is a leading Databricks technology partner committed to empowering customers with scalable architectures and advanced ML and AI applications. As a Data Solutions Architect, you will engage with customers, providing technical leadership and pre-sales support while designing and deploying data solutions to enhance their data architecture needs.
Responsibilities
- Serve as a trusted advisor to customers, guiding them through their data engineering and data architecture needs with a focus on Databricks solutions
- Design, build, and deploy comprehensive data solutions that capture, transform, and leverage data to support AI, ML, and business intelligence initiatives
- Collaborate with sales teams to present technical solutions to prospective clients, demonstrating the value of SunnyData's offerings
- Manage multiple customer accounts, ensuring timely delivery of solutions and tracking progress to report outcomes
- Architect data solutions, incorporating best practices in data governance, security, and quality
- Evaluate data sources for their value, recommending data inclusion strategies to enhance analytical processes
- Lead internal teams, provide direction and mentorship to project teams to deliver solutions and educate end users on data products and analytic environments
- Perform system analysis, assess and resolve data and system defects, and apply appropriate corrections
- Test data movement, transformation code, and data components to ensure accuracy and reliability
Skills
- 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
- 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 lead complex architecture requirements(discovery), solution design sessions and build out implementation architecture blueprints that can be implemented by data-engineering and analytics teams
- Proficiency in Java, Python, and/or Scala
- AWS, Azure, and/or GCP
- Ability to write, debug, and optimize SQL queries
- Strong written and verbal communication skills with experience in client-facing roles
- Ability to create and deliver detailed presentations to clients and stakeholders
- Experience in creating detailed solution documentation including POCs, roadmaps, sequence diagrams, class hierarchies, and logical system views
- Experience leading teams and mentoring other engineers
- Ability to develop end-to-end technical solutions into production, ensuring performance, security, scalability, and robust data integration
- Familiarity with cloud and distributed data storage systems such as S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL storage systems
- Experience with data integration technologies like Spark, Kafka, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure DataFactory, and Informatica Intelligent Cloud Services (IICS)
- Comprehensive experience with the complete software development lifecycle including design, documentation, implementation, testing, and deployment
- Expertise in automated data transformation and curation using tools like dbt, Spark, Spark streaming, and automated pipelines
- Experience with workflow management and orchestration tools like Airflow, AWS Managed Airflow, Luigi, and NiFi
- Background working in the Financial Services industry, preferably in a banking environment
- Understand industry compliance requirements and standards, specifically in banking IT landscapes
- Certifications (at least 2 of the following): Associate Developer for Apache Spark; Data Engineer Associate; Professional Data Engineer; Machine Learning Associate; Professional ML Engineer
Benefits
- Health Insurance : Employees and their eligible family members including spouses, domestic partners, and children are eligible for coverage from the first day of employment.
- Paid Time Off : Start your career at SunnyData with a minimum of 15 days Paid Time Off annually, plus nine paid company Holidays.
- An opportunity to grow your technical and people skills, lead teams on complex customer projects that are highly innovative and cutting edge. Great opportunity to grow in your career with the right level of focus, innovation and customer centricity with a high growth consulting company dedicated to Databricks.
- Employees are also eligible for performance-based cash incentive awards.
Company Overview