Snowflake Architect

We currently have a career opportunity for a Snowflake Architect to join our Data & Analytics Team.

 Job Overview:

The Snowflake Architect provides technology direction, ensures project implementation compliance, and utilizes technology research to innovate, integrate, and manage technology solutions. As a Snowflake Architect, you will significantly contribute to identifying best-fit architectural solutions for one or more projects; you will collaborate with some of the best talent in the industry to create and implement innovative, high-quality solutions, and participate in Sales and various pursuits focused on our clients' business needs. This role is considered part of the Business Unit Leadership team and may mentor Junior Architects and /or development team members.

This role is considered part of the Business Unit Senior Leadership team and may mentor delivery team members.

Perficient is always looking for the best and brightest talent and we need you! We’re a quickly growing, global digital consulting leader, and we’re transforming the world’s largest enterprises and biggest brands. You’ll work with the latest technologies, expand your skills, and become a part of our global community of talented, diverse, and knowledgeable colleagues.

• Provide architectural solutions/designs to project execution teams for implementation.
• Provide technology architectural assessments, strategies, and roadmaps for one or more technology domains.
• Work with application developers, users, operational leadership, and subject matter experts to understand current and future operational data analysis goals. Recommend modern technology stacks to meet those goals and help engineering teams migrate towards their use.
• Collaborate with the customer's operations and technology leadership on the future analytic goals of the organization, and design a technical architecture to meet those goals. Participate in configuring the architecture, and advise engineering teams on its efficient use.
• Lead a work stream or act as a team lead and manage non-complex components of the work plan/project.
• Utilize analytical, process, and/or technical skills to meet project objectives and deliverables that are self-directed and within project scope..

• Minimum 10 years of data engineering experience with data warehouse and data lake projects.
• At least 5 years of experience in technology consulting, enterprise and solutions architecture and architectural frameworks.
• At least 5 years of experience with data cloud technologies.
• At least 2 years of experience with Snowflake, DBT, and/or Fivetran.
• At least 3 years of experience in the Snowflake Ecosystem that demonstrates the breadth and depth of Snowflake capabilities and ability to provide recommendations to our customers in solving business cases.
• Knowledge in leveraging AI capabilities in implementing data warehouse and data lake projects.
• Experience in defining new architectures and ability to drive an independent project from an architectural standpoint.
• Experience in complete project life cycle activities on development and maintenance projects.
• Knowledge and experience in developing software using agile methodologies.
• Proven track record of technical leadership roles, delivering solutions within defined timeframes.
• Skilled in building relationships with clients and in practice development activities.
• Demonstrated success in performing work and managing complex and/or large consulting projects.
• Excellent written and oral communication skills; effectively communicating with technical and non-technical staff.
• Experience in pre-sales.
• Bachelor’s degree in Computer Science or related field.
• Must be open to travel.

Preferred Skills and Education:

• Experience working with a globally distributed team and managing offshore teams.
• Master’s degree in computer science or related field.
• Certification in Snowflake is preferred.
• Experience with authoring, editing, and presenting technical documents.

The salary range for this position takes into consideration a variety of factors, including but not limited to skill sets, level of experience, applicable office location, training, licensure and certifications, and other business and organizational needs. The new hire salary range displays the minimum and maximum salary targets for this position across all US locations, and the range has not been adjusted for any specific state differentials. It is not typical for a candidate to be hired at or near the top of the range for their role, and compensation decisions are dependent on the unique facts and circumstances regarding each candidate. A reasonable estimate