Databricks Solutions Architect
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Senior Level Data Architect with data analytics experience, Databricks, Pyspark, Python, ETL tools like Informatica
This is a key role that requires senior/lead with great communication skills who is very proactive with risk & issue management.
Experience and Education Required
15+ years of experience as Data Analyst / Data Engineer with Databricks on AWS expertise in designing and implementing scalable, secure, and cost-efficient data solutions on AWS
Job Profile:
- Hands-on data analytics experience with Databricks on AWS, Pyspark and Python
- Must have prior experience with migrating a data asset to the cloud using a GenAI automation option
- Experience in migrating data from on-premises to AWS
- Expertise in developing data models, delivering data-driven insights for business solutions
- Experience in pretraining, fine-tuning, augmenting and optimizing large language models (LLMs)
- Experience in Designing and implementing database solutions, developing PySpark applications to extract, transform, and aggregate data, generating insights
Technical Skills:
- 15+ years of experience as a Data Analyst, Data Engineer, or related role, ideally with a bachelor’s degree or higher in a relevant field.
- Strong proficiency in Python (Pandas, Scikit-learn, Matplotlib) and SQL, with experience working across various data formats and sources.
- Proven ability to automate data workflows, implement code-based best practices, and maintain documentation to ensure reproducibility and scalability.
Behavioral Skills:
- Ability to manage in tight circumstances, very pro-active with risk & issue management
- Requirement Clarification & Communication: Interact directly with colleagues to clarify objectives, challenge assumptions.
- Documentation & Best Practices: Maintain clear, concise documentation of data workflows, coding standards, and analytical methodologies to support knowledge transfer and scalability.
- Collaboration & Stakeholder Engagement: Work closely with colleagues who provide data, raising questions about data validity, sharing insights, and co-creating solutions that address evolving needs.
- Excellent communication skills for engaging with colleagues, clarifying requirements, and conveying analytical results in a meaningful, non-technical manner.
- Demonstrated critical thinking skills, including the willingness to question assumptions, evaluate data quality, and recommend alternative approaches when necessary.
- A self-directed, resourceful problem-solver who collaborates well with others while confidently managing tasks and priorities independently.