Cloud Solutions Architect _Databricks & AW

Job Description Senior Level Data Architect with data analytics experience, Databricks, Pyspark, Python, ETL tools like Informati ca This is a key role that requires senior/lead with great communication skills who is very proactive with risk & issue manageme nt. Experience and Education Requ ired 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 o n AWS Job Pr ofile: Hands-on data analytics experience with Databricks on AWS, Pyspark and PythonMust have prior experience with migrating a data asset to the cloud using a GenAI automation optionExperience in migrating data from on-premises to AWSExpertise in developing data models, delivering data-driven insights for business so lutionsExperience 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 i nsightsData Collection & Integration: Identify, gather, and consolidate data from diverse sources, including internal databases and spreadsheets ensuring data integrity and rel evance.Data Cleaning & Transformation: Apply thorough data quality checks, cleaning processes, and transformations using Python (Pandas) and SQL to prepare da tasets.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 yo ur workTechnical Skills: 15+ years of experience as a Data Analyst, Data Engineer, or related role, ideally with a bachelor’s degree or higher in a relevan t 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 scal ability.Behavioral Skills: Ability to manage in tight circumstances, very pro-active with risk & issue m anagementRequirement Clarification & Communication: Interact directly with colleagues to clarify objectives, challenge ass umptions.Documentation & Best Practices: Maintain clear, concise documentation of data workflows, coding standards, and analytical methodologies to support knowledge transfer and sca lability.Collaboration & Stakeholder Engagement: Work closely with colleagues who provide data, raising questions about data validity, sharing insights, and co-creating solutions that address evolvi ng needs.Excellent communication skills for engaging with colleagues, clarifying requirements, and conveying analytical results in a meaningful, non-technica l manner.Demonstrated critical thinking skills, including the willingness to question assumptions, evaluate data quality, and recommend alternative approaches when n ecessary.A self-directed, resourceful problem-solver who collaborates well with others while confidently managing tasks and priorities inde pendently