Job
Description
As a Cloud Data Architect you will: Work with all levels of staff, management, stakeholders, and vendors Display advanced analytical and conceptual skills to create original concepts for various projects Design and develop platforms for scalable solutions Provide forward thinking technical expertise in current and emerging technologies, trends, and practices Anticipate internal and/or external business challenges including regulations, recommending processes, and product or service enhancements Design, prototype, and develop Big Data Platforms utilizing Azure or AWS Translate business goals and objectives into architectural strategies and technical solutions Serve in a lead capacity on client initiatives Mentor junior Data Architects and Data Engineers on Clarkston s analytics team Assist in defining and managing client solutions How You ll Grow Beyond your day-to-day responsibilities, throughout your career at Clarkston you will: Receive the support and mentorship of your Clarkston colleagues and leaders Expand your existing skillset with internal and external professional development opportunities What We re Looking For: 9+ yrs of experience with data architecture, data engineering and data modeling, specifically in support of data warehousing, business intelligence, master data management, and reference data management Experience with data management solutions using data lake platform tools and technologies Architect modern data platforms that leverage the data lake platform, data engineering frameworks and Databricks, preferably in an Azure cloud environment. Strong Data Modeling, Data Engineering background is a must along with SQL, PySpark & Python proficiency. Hands-on experience designing large data products leveraging Azure Databricks and Azure Data Factory(ADF).Familiarity with delivering Data as a Service (DaaS) concepts from enterprise repositories using REST APIs Familiarity with Azure or AWS-based data and data management tools, such as Azure SQL Azure Data Catalog, Azure Service Fabric, and microservices Familiarity with data integration points for TOGAF (or other recognized architecture framework) Working knowledge of development or operations framework methodologies, including Information Technology Infrastructure Library (ITIL), Systems Development Life Cycle (SDLC), etc. Familiarity with developing data catalogues, and integrating with existing enterprise architecture Familiarity with cloud data platforms and process automation Experience in using various data modeling techniques and their appropriate usage in data integration Experience in working with all levels of staff, management, stakeholders, and vendors Significant experience in performing analysis of business processes and functions Significant experience in work as an engineer or technical subject matter expert in two or more of the following areas: infrastructure; data; application; and/or security related technology Effective skill creating system diagrams for review by both technical and non-technical audiences Advanced analytical and conceptual skills to create original concepts/theories for various projects Develop and apply architectural governance based on business and information technology strategies Effective skill applying innovative approaches to solve technical design issue Anticipate internal and/or external business challenges including regulatory; recommend process, product or service enhancements Provide forward thinking technical expertise in current and emerging technologies, trends and practices 4-year degree in Business Administration, Computer Science, Information Systems, Engineering, or an equivalent discipline
