Tableau Architect

Job Description

You will partner closely with the clients to deliver state-of-the-art outcomes by engineering solutions.
You will continue to expand your expertise in Data Engineering, Big Data, Analytics and Visualization tools/techniques daily to enable incremental innovation in on-going projects
At all times, you will clearly articulate and communicate with a diverse set of internal and external customers with varying degrees of technical proficiency and deliver critical business and process related information to mitigate any risks or failures
10-12 years of experience in solution architecture, estimation, building capacity plans for long-term BI & Data Analytics transformation initiatives
Minimum of 8 year of experience with major BI platforms like Tableau and Power BI
Expertise in BI & data architecture design, recommendations and implementation best practices and continuous optimization
Experience in Solution Architect design with experience in Big Data, Cloud Technologies, Data Lake, Data Warehousing on cloud, Visualization and Analytics
Participate in the business development through proactive or competitive bids (RFx)
Partner with Brillio sales teams to conduct business and technical discovery with customers
Provide solutions, architectures and use cases to help customers meet their objectives
Develop robust recommendations, proposals and scope of work documents for Brillio Data Strategy and Consulting engagements while also identifying critical dependencies & gaps
Excellent customer facing skills with experience presenting to and achieving buy-in from senior executives (managers, directors, VPs, CMOs, and CXOs)
Experience in working as consultant to formulate solution to business problem
Experience in handling complex information and presenting it in compelling narratives through business presentations for various audiences
Experience working on large scale analytics projects that includes familiarity with architecting big data environments, leveraging appropriate visualization tools and rigorous hypothesis testing using various statistical analysis techniques. Analytics, Data and Functional understanding:
Ability to work with multi stakeholders and get their suggestions. Filter and make relevant changes to solution
Can create proof of concepts, demos, and/or scripts from scratch or leveraging reusable components.
Professional agility and strategic thinking
Ability to recommend best-in-class tools, technologies and processes to ensure high quality solutions
Experience in developing comprehensive RFP responses in partnership with 
Able to work in teams and collaborate with others to clarify requirements
Understanding of Agile and other development processes and methodologies.