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Skills
Apache Sparkunmatched
Artificial Intelligence (AI)unmatched
Big Dataunmatched
Cloud Computingunmatched
Consultingunmatched
Customer Relationsunmatched
Customer Satisfactionunmatched
Data Analysisunmatched
Data Managementunmatched
Data Processingunmatched
Data Scienceunmatched
Ecosystemsunmatched
Emerging Technologyunmatched
Enterprise Architectureunmatched
Machine Learningunmatched
Market Analysisunmatched
Market Trend Analysisunmatched
Professional Servicesunmatched
Python Programming/Scripting Languageunmatched
Research Skillsunmatched
SQL (Structured Query Language)unmatched
Scala Programming Languageunmatched
Scalable System Developmentunmatched
Software Engineeringunmatched
System Integration (SI)unmatched
Technical Strategyunmatched
Technical Supportunmatched
Technology Analysisunmatched
Time Managementunmatched
Use Casesunmatched
Description
As a Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.
Key Responsibilities
Architecture & Technology Strategy
Perform technology and tools assessments to evaluate market trends and determine the best fit within the enterprise landscape
Evaluate architecture patterns and oversee implementation from concept to production
Conduct research on emerging tools and technologies to recommend cost-effective and innovative solutions
Define and design end-to-end data and AI architectures
Data & AI Solution Delivery
Design, develop, and implement data solutions using the Databricks platform
Build scalable data pipelines, analytics solutions, and machine learning models
Leverage Databricks Mosaic AI capabilities for advanced analytics and GenAI use cases
Productionalize customer use cases and deploy enterprise-grade solutions
Ensure projects are delivered on time, within scope, and with high customer satisfaction
Maintain a strong focus on quality, scalability, and performance
Required Qualifications
10+ years of hands-on experience in providing solutioning architecture
Big Data technologies
Databricks ecosystem
Machine Learning and Generative AI
Strong experience with distributed data processing (e.g., Apache Spark)
Proficiency in Python, SQL, and/or Scala
Experience designing and implementing enterprise data architectures
Proven ability to work in client-facing roles and deliver consulting engagements