Solutions Architect

Roles & Responsibilities:

Role Brief:

As a Data Engineering and Analytics Solutions Architect, you'll be crafting state-of-the-art solutions and RFP responses in collaboration with our Pre-Sales and Marketing teams. Your role involves partnering closely with clients to deliver business outcomes, while continuously expanding expertise in Data Engineering, Big Data, Analytics, and Visualization. With a focus on solution architecture, estimation, and business development, you'll provide end-to-end solutions, conduct discovery with customers, and deliver robust recommendations for Brillio Data Strategy and Consulting engagements. Your ability to balance business acumen with technical proficiency, along with excellent communication and collaboration skills, ensures successful outcomes in large-scale analytics projects.

Key Responsibilities:

You will create state of the art Data engineering and Analytics solutions, comprehensive RFP responses in partnership with our Pre-Sales and/or Marketing functions.

You will partner closely with the clients to deliver differentiated business outcomes.

You will continue to expand your expertise in Data Engineering, Big Data, Analytics and Visualization tools/techniques by working in diverse set of client requirements across verticals.

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 in deal/RFx lifecycle.

You will persistently look for opportunities to address customer needs by being a thought partner in every moment of engagement.

Candidates should demonstrate the below listed critical leadership qualities:

Customer Advocacy - Ensures customer success on stated and unstated business priorities through strategic advice and market leading solutions.

Owner’s Mindset - Is passionate about Brillio’s business, deeply committed to its success and makes decisions that are in the best interest of the firm.

Innovation Ethos - Embraces ambiguity and adopts relentless experimentation to challenge current practices and enable continuous growth.

Execution with Pace - Displays agility to deliver high quality results in the face of changing stakeholder expectations.

Big Picture Thinking - Creates a common definition of shared success and sets bold targets that inspire the team towards new horizons.

Winning Through Teams - Enables a culture of collaboration and empowers teams to "raise their game” in order to create a winning formula.

Candidates Must Have:

13 years of experience in solution architecture, estimation, building capacity plans for long-term data transformation initiatives.

Provide end to end solution and assist in business development initiatives through proactive or competitive bids (RFx).

Minimum of 8 year of development, and implementation of enterprise-level data solutions.

Should have expertise in providing estimates based on abstract RFx requirements.

Expertise in 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.

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.

Balance of business and technology acumen, including ability to articulate high-level technical solutions to business problems and to tie your solutions to program success criteria.

Excellent customer facing skills with experience presenting to and achieving buy-in from senior executives (managers, directors, VPs, CMOs, and CXOs).

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:

Extensive experience in developing comprehensive RFP responses in partnership with Pre-Sales and/or Marketing functions.

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.

Strong analytical and problem-solving skills.

Excellent oral and written communication skills.

Able to work in teams and collaborate with others to clarify requirements.

Understanding of Agile and other development processes and methodologies.

Professional agility and strategic thinking