Associate Manager Data Architect

Ampcus, Inc; Richmond (VA); Hybrid; USD 95,000 - 120,000; Full time

Job summary

A technology consulting firm in Richmond, VA is seeking an Associate Manager Data Architect. The role involves leading AI and machine learning integration, designing scalable solutions, and managing cross-functional projects. Candidates should possess a Bachelor's or Master's degree in relevant fields, along with a proven track record in AI-enabled solution delivery and strong cloud platform expertise. The position is hybrid, offering flexibility in work arrangements.

Qualifications

• Bachelor's or Master's degree in a relevant field.
• Proven track record of delivering AI-enabled solutions.
• Strong understanding of cloud platforms like AWS, Azure, GCP.

Responsibilities

• Collaborate with stakeholders to understand goals, processes, and challenges.
• Translate business requirements into data architectures.
• Evaluate and integrate emerging AI and machine learning technologies.
• Design end-to-end solutions aligned with enterprise architecture.
• Lead cross-functional project teams from concept to delivery.

Skills

AI knowledge

Data modeling

Database design

Data warehousing

ETL tools

Data integration

Pipeline design

Python

Java

Scala

Cloud platforms (AWS, Azure, GCP)

Databricks

Education

Bachelor's or Master's degree in Computer Science, Information Systems, Business, or related field

Job description

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team. Job Title: Associate Manager Data Architect Location: Richmond, VA (Hybrid)

Key Responsibilities

• Business Domain Leadership:
  • Collaborate with business stakeholders to understand strategic goals, operational processes, and industry-specific challenges.
  • Translate business requirements into data architectures that deliver measurable business value.
  • Serve as a trusted advisor to business leaders on Data and AI enabled transformation.
• AI Expertise:
  • Evaluate, recommend, and integrate emerging AI and machine learning technologies into enterprise solutions.
  • Stay ahead of industry trends in AI, automation, and data analytics to drive innovation.
  • Develop proof-of-concepts and pilot projects to validate AI-driven solutions.
• Solution Architecture & Design:
  • Design end-to-end solutions that are robust, scalable, and aligned with enterprise architecture principles.
  • Ensure solutions meet security, compliance, and performance requirements.
  • Collaborate with Enterprise Architecture team to document architecture blueprints, integration patterns, and technical roadmaps.
• Project Management:
  • Lead cross-functional project teams from concept to delivery, ensuring timelines, budgets, and quality standards are met.
  • Apply agile and hybrid project management methodologies to deliver complex solutions.
  • Manage risks, dependencies, and change control processes effectively.

Required Qualification

• Bachelor's or Master's degree in Computer Science, Information Systems, Business, or related field.
• Proven track record of delivering AI-enabled solutions in enterprise environments.
• Strong understanding of cloud platforms (AWS, Azure, GCP) and integration technologies.
• Experience managing and leading MSPs in complex delivery environments.
• Excellent communication, stakeholder management, and leadership skills.

Required Skills

• Strong AI knowledge; expertise in data modeling, database design, and data warehousing.
• Skilled in ETL tools, data integration, and pipeline design; proficient in Python, Java, or Scala.
• Strong cloud platform experience (AWS, Azure, GCP) and strong experience with Databricks.
• Excellent problem-solving, analytical, and communication skills for cross-functional collaboration.

Required Experience

• 4 to 5 years of Data Management and data and solution architecture experience required.

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.