66 Systems Plus Jobs
Azure Data Architect
Systems Plus
posted 6d ago
Flexible timing
Key skills for the job
Azure Data Architect
Clarkston Consulting is seeking motivated, self-driven leaders who are energized by team results and interested in joining a firm that values its culture and people as its biggest strengths. Come join us as a Cloud Data Architect, and in this role, you will deliver creative business solutions to our market-leading clients in the life sciences, consumer products, and retail industries.
Together, we can find the answers to our clients most challenging business problems through a combination of our industry expertise, business process knowledge, and consulting excellence.
What You ll Do
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
Employment Type: Full Time, Permanent
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8-10 Yrs