Solutions Architect

Job Summary 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.