Cloud Data Architect
Austin, Texas, United States
Clarkston Consulting
Clarkston is a consulting firm that provides life sciences, consumer products, and retail consulting services with experienced consultants.This job is posted in multiple locations. When not at a client site, consultants work from their home office. Relocation is not required.
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 at Clarkston, 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
- Design, prototype, and develop cloud data platforms utilizing Azure or AWS
- Translate business goals and objectives into architectural strategies and technical solutions
- Develop and apply architectural governance based on business and information technology strategies
- Anticipate internal/external business challenges, including regulatory, and recommend process, product, or service enhancements
- Provide forward thinking technical expertise in current and emerging technologies, trends and practices
- 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:
- Have the support and mentorship of your Clarkston colleagues and leaders
- Expand your existing skillset with internal and external professional development opportunities
Requirements
What We’re Looking For:
- Experience with data management solutions using data lake platform tools and technologies
- Experience with data architecture, specifically in support of data warehousing, business intelligence, master data management, and reference data management
- 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
- Familiarity with microservices architecture
- 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 with Snowflake, Azure Synapse Analytics, Databricks, or related technologies.
- 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, security related technology
- Effective skill in 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
- Effective skill in applying innovative approaches to solve technical design issues
- 4-year degree in Business Administration, Computer Science, Information Systems, Engineering, or an equivalent discipline
Travel Requirement
Travel is an integral part of this role and is estimated to average 30-50%. This may vary based upon client and project needs. When not traveling, consultants work from their home office. Relocation is not required.
More About Clarkston
Founded in 1991, Clarkston Consulting delivers technology and management solutions to market leaders in the life sciences, consumer products, and retail industries. At Clarkston, we cultivate success - for our clients, for our people, and for our firm. We utilize a team approach leveraging our collective expertise and industry knowledge to solve our clients’ business challenges.
Benefits
Our benefits include:
- Comprehensive Health and Wellness Benefits (Medical, Dental, Vision, and more)
- 401k with company contributions
- Paid vacation, personal days, holidays, and sick leave
- Paid Parental Leave and Family Building Benefits (Adoption, Surrogacy, and Infertility Support)
- Life and Disability Insurance
- Training and Professional Development investments, Tuition Assistance, and more
Visit Careers at Clarkston to learn more about our culture, benefits, and opportunities.
Clarkston Consulting is an equal opportunity employer. We are committed to ensuring our firm is rich in diverse skills, competencies, strengths, personalities, and culture. We foster an inclusive environment that embraces the unique contributions of our people to further our purpose. Please visit Diversity @ Clarkston to learn more about our diversity initiatives.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture AWS Azure Business Intelligence Computer Science Consulting Databricks Data management Data Warehousing Engineering ITIL Microservices SDLC Security Snowflake TOGAF
Perks/benefits: Career development Health care Insurance Medical leave Parental leave Wellness
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.