Perficient currently has a career opportunity for a Databricks Solutions Architect to join our team located in the United States. This role is primarily office-based at a local Perficient location, with travel and on-site client engagements expected as needed.

Job Overview

The Solutions Architect is expected to be knowledgeable in two or more technologies within the Data & Analytics domain. The Solutions Architect may or may not have a programming background, but will have expert infrastructure architecture, client presales / presentation, team management and thought leadership skills.

You will provide best-fit architectural solutions for one or more projects; you will assist in defining scope and sizing of work; and anchor Proof of Concept developments. You will provide solution architecture for business problems, perform platform integration with third party services, and design and develop complex features for clients' business needs.

You will collaborate with some of the best talent in the industry to create and implement innovative high quality solutions, participate in Sales and various pursuits focused on our clients' business needs. You will also contribute in a variety of roles in thought leadership, mentorship, systems analysis, architecture, design, configuration, testing, debugging, and documentation. You will challenge your leading edge solutions, consultative and business skills through the diversity of work in multiple industry domains.

Responsibilities

• Drive project requirements by interviewing business and IT stakeholders.
• Own and aggressively drive forward end-to-end Lakehouse and AI solutions. Provide architectural solutions/designs to project execution teams for implementation.
• Architect Databricks solutions on various Cloud platforms (Azure, AWS, and GCP). This includes multi-cloud integration, data ingestion and streaming, data transformation, data modeling, data governance and data sharing.
• Architect Databricks AI/BI solutions that drive business insights with Databricks ML, AI and BI features.
• Integrate Databricks solutions with cloud platforms like Azure (ADF, ADLS, Event Hub, Azure DevOps) or AWS (S3, Lamda, Glue).
• Evaluate and integrate innovative solutions with GenAI, Delta Live Tables/Lakeflow, Lakebridge, etc.
• Design and implement analytical data models and star schemas for BI and AI consumption.
• Provide architectural assessments, strategies, and roadmaps for one or more technological domains.
• Work with Product Owner and Business SMEs to understand functional requirements and interact with other cross-functional teams to architect, design, develop, test, and release features.
• Project and solution estimation and team structure definition.
• Develop Proof-of-Concept projects to validate new architectures and solutions.
• Support multiple Agile Scrum teams with planning, scoping and creation of technical solutions for the new product capabilities throughout continuous delivery to production.
• Liaise with offshore team and clients for resolving technical dependencies, issues, and risks.
• Mentor and provide architectural guidance to multiple teams building innovative applications.
• Drive common vision, practice and capabilities across teams.
• Engage with Technical Architects and technical staff to determine the most appropriate technical strategy and designs to meet business needs.
• Demonstrate broad solutions technical leadership, impacting significant technical direction, exerting influence outside of the immediate team and driving change.

Qualifications

• Minimum of 10 years of professional experience with Data Management and Cloud technologies including Enterprise Data Warehouses, Data Lakes and Lakehouses
• 3-5 years of professional experience with Databricks and Lakehouse Architecture.
• 4-5 years of hands-on experience with big data technologies such Spark, Hadoop, Kafka, Data Lakehouse.
• Experience implementing, designing, and building solutions leveraging Databricks Unity Catalog, ML/AI and Workflows.
• At least 3 Databricks project implementations that exploit the full capabilities (discover, design, implement and optimize) - is a MUST.
• At least 5 Years architecting ETL/ELT solutions using commercial tools.
• Proficiency with Classic ML/AI, Gen AI and Agentic AI type solutions and architectures.
• DevOps experience with Databricks CI/CD (Asset Bundles), Git, Terraform
• Design and architecture experience supporting both batched and streaming workloads for Big Data Pipelines.
• At least 3 years of experience in a professional services company, consulting firm, or agency
• Have a solid understanding of delivery methodology and lead teams in the implementation of the solution according to the designed architecture.
• Experience in project and solution estimation and team structure definition.
• Fluent and current on architecture trends with an eye on market/technical conditions and future direction.
• Experience in defining new architectures and ability to drive an independent project from an architectural standpoint.
• Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support data-informed task execution.
• Familiarity with AI-enhanced platforms is a plus.
• A solid understanding of AI capabilities and limitations including ethical considerations is expected
• Demonstrated success in performing work and managing complex and/or large consulting projects.
• Proficient in authoring, editing and presenting technical documents.
• Ability to elicit requirements and communicate clearly with non-technical individuals, development teams, and other ancillary project members.
• Strong written and oral communication skills; Ability to communicate effectively with technical and non-technical staff.
• Track record of leadership roles delivering solutions within defined timeframes
• Experience working with a globally distributed team and managing off-shore teams
• Desire to mentor younger team members and develop their skills.
• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.

Preferred Skills & Education

• Master's degree in Computer Science or related field
• Certification in Databricks (Champion or Professional), Apache Spark and/or Cloud Platforms (AWS/Azure) preferred.
• Leadership and team management experience with the ability to provide strategic planning and oversight
• Experience leading customer workshop sessions to educate customers on the latest technology trends and best practices.

Applications will be accepted until the position is filled or the posting is removed.

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 of the current salary range for this position is $81,978 to $178,090. Please note that the salary range posted reflects the base salary only and does not include benefits or any potential variable compensation programs. Information regarding the benefits available for this position are in our benefits overview.

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