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Perficient

Global digital consultancy delivering IT solutions

Data Management Architect

Data ManagementConfirmed live in the last 24 hours
Full-time$133.6k - $173.6k

About the Job

Requirements

  • A minimum of 10 years of relevant professional experience.
  • Strong experience with current data trends and technologies, including data quality, data catalog, data lineage, and master data management.
  • Familiarity with data governance concepts, including policies, procedures, operating models, and runbooks.
  • Expertise building solutions from scratch and modernizing legacy architectures.
  • Strong experience with data modeling across various industries.
  • Expertise in at least two hyperscaler technologies: Amazon Web Services, Azure, or Google Cloud Platform.
  • Familiarity with cloud-based data warehouse and/or lakehouse platforms such as Snowflake and Databricks.
  • Ability to communicate complex solutions to technical and non-technical users at various levels, typically from department directors to the C-suite.
  • Experience with both on-premises and cloud technologies and platforms.
  • Expertise architecting solutions across performance, scalability, and security disciplines.
  • Ability to communicate clearly, verbally and in writing.
  • Ability to create strong presentations using various tools.
  • Knowledge of emerging artificial intelligence tools, technologies, and industry trends.
  • Demonstrated ability to use artificial intelligence tools to enhance productivity, streamline workflows, and support data-informed task execution.
  • A solid understanding of artificial intelligence capabilities and limitations, including ethical considerations.
  • Ability to travel up to 25%, sometimes more depending on program needs, often with short notice.
  • Must be located within commuting distance of a Perficient office in Chicago, Detroit, Houston, Dallas, Austin, Charlotte, or Atlanta.

Responsibilities

  • Provide best-fit architectural solutions for one or more projects.
  • Assist in defining project scope and sizing work.
  • Anchor proof-of-concept development.
  • Provide solution architecture for business problems.
  • Perform platform integration with third-party services.
  • Design and develop complex features for clients' business needs.
  • Participate in sales and other pursuits focused on clients' business needs.
  • Contribute to thought leadership, mentorship, systems analysis, architecture, design, configuration, testing, debugging, and documentation.
  • Lead pursuit teams with clients as a data subject matter expert, including requests for proposal responses and proactive proposals.
  • Work with multiple business units within Perficient.
  • Lead complex client engagement delivery, often with ambiguity and little direction.
  • Plan and lead workshops with client teams to understand the current landscape, requirements, and constraints, and map these to current technology products and platforms to develop future architecture.
  • Create phased implementation roadmaps from scope and resource perspectives.
  • Articulate complex architectures to technical and non-technical client teams and build consensus among them.
  • Learn new technologies and platforms quickly and keep experience relevant to client needs.
  • Lead teams across global locations and multiple time zones.
  • Represent Perficient as an authority on enterprise architecture topics at industry forums and conferences.
  • Take ownership of solutions and teams.

Desired Qualifications

  • Familiarity with artificial intelligence-enhanced platforms is a plus.

About the Company

Perficient

Global digital consultancy delivering IT solutions

Perficient is a global digital consultancy that provides IT and business consulting services to large enterprises. It helps organizations design and deliver IT and digital solutions, with services spanning business analysis, portal development, and AI-powered digital initiatives. Its offerings are carried out through a global delivery network across the United States, Latin America, India, and Europe, combining strategists and technologists to execute projects from strategy through implementation. The company differentiates itself by leveraging a broad, multinational delivery footprint and pursuing strategic acquisitions to expand its capabilities and market reach, enabling it to serve Forbes Global 2000 and other large enterprise clients across multiple industries. The goal is to help enterprises transform digitally, using data analytics, cloud computing, and AI to achieve measurable business outcomes and improved performance.

Company size
1,001-5,000
Company stage
IPO
Headquarters
St. Louis, MO
Founded
1998

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