Databricks Solutions Architect

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 • Data Collection & Integration: Identify, gather, and consolidate data from diverse sources, including internal databases and spreadsheets ensuring data integrity and relevance. • Data Cleaning & Transformation: Apply thorough data quality checks, cleaning processes, and transformations using Python (Pandas) and SQL to prepare datasets. • Automation & Scalability: Develop and maintain scripts that automate repetitive data preparation tasks. • Autonomy & Proactivity: Operate with minimal supervision, demonstrating initiative in problem-solving, prioritizing tasks, and continuously improving the quality and impact of your work 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.