Lead Data Architect

Amatriot Group, LLC; Tysons (VA); Hybrid; USD 150,000 - 170,000; Full time

Job summary

Amatriot Group, LLC is seeking a Data Architect to design and govern scalable cloud-based data solutions across data lakes, warehouses, and data mesh environments. You will define architectures, lead a team, and collaborate with stakeholders to align technology with business goals.

The role requires substantial experience with AWS data services, ETL design, and strong governance practices. Hybrid work arrangement and a focus on analytics and innovation are expected.

Qualifications

• Minimum 8 years designing and implementing data architectures (data lakes, warehouses, data mesh).
• Minimum 5 years with cloud platforms (AWS/Azure/Google Cloud) for storage, processing, analytics.
• 2+ years leading data engineering teams and mentoring others.
• Experience in Agile environments using Scrum, Kanban, Jira/Confluence/SAFe.

Responsibilities

• Plan, define, and high-level design data solutions.
• Evaluate new technologies and approaches for data platforms.
• Develop scalable cloud-based data infrastructure and ensure governance.
• Lead data mesh implementation and cross-domain data integration.
• Communicate with stakeholders to align data architecture with business goals.

Skills

Data architecture

ETL pipelines

Data governance

Data catalog

Data mesh

Stakeholder communication

Leadership

Cloud data platforms

Education

Bachelor’s or Master’s in Computer Science/IS/Data Engineering

Tools

AWS

Redshift

S3

Glue

Lake Formation

Lambda

Jira

Confluence

SAFe

Job description

Career Opportunities with Amatriot Group, LLC

A great place to work.

Share with friends or Subscribe!

Are you ready for new challenges and new opportunities?

Join our team!

Current job opportunities are posted here as they become available.

Subscribe to our RSS feeds to receive instant updates as new positions become available.

Location: Hybrid, 1 day a week onsite Tysons Corner, VA
Clearance: Active Secret or Above
Job Type: Full-Time
Target Salary Range*: $150,000 - $170,000

*This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salary

Position Overview

The Data Architect supports planning, design, implementation, governance, and sustainment of scalable cloud-based data solutions. This role develops data infrastructure, supports domain-specific data products, implements data mesh architecture, and aligns technical data architecture with business goals to support analytics, insights, and innovation.

Key Responsibilities

Data Architecture and Solution Design

• Participate in planning, definition, and high-level design of data solutions.
• Explore alternatives and evaluate new technologies.
• Develop and maintain scalable cloud-based data infrastructure.
• Ensure data infrastructure aligns with the organization’s decentralized data management strategy.
• Communicate effectively with stakeholders to align technical data architecture with business goals.

ETL, Cloud Data Platforms, and Data Products

• Design and implement ETL pipelines using AWS services, including S3, Redshift, Glue, Lake Formation, and Lambda.
• Support data domain requirements and self-service analytics.
• Collaborate with data domain teams to design and deploy domain-specific data products.
• Adhere to organizational standards for schema design, data transformations, and storage solutions.

Data Governance and Catalog Management

• Establish and enforce data governance practices, including compliance with data privacy, access controls, and lineage requirements.
• Maintain a comprehensive data catalog and governance tools.
• Automate workflows to uphold data integrity and ensure discoverability across all domains.

Data Mesh Implementation and Operations

• Lead the implementation and ongoing support of data mesh architecture.
• Ensure seamless integration and data flow across multiple domains.
• Ensure the availability and reliability of the organization’s Data Mesh software.
• Manage operations and maintenance of the Data Mesh framework.

Agile Collaboration, Training, and Leadership

• Apply experience working in an Agile organization using Scrum, Kanban, Jira, Confluence, and SAFe.
• Provide guidance and leadership on the cultural adoption of data mesh principles.
• Support organizational training initiatives for data stewards and users.
• Provide team-specific training as needed.

Qualifications

Education

• Bachelor’s or master’s degree in Computer Science, Information Systems, Data Engineering, or a related technical field preferred.

Experience

• Minimum 8 years of experience designing and implementing data architectures, including large-scale data environments such as data lakes, data warehouses, and data mesh frameworks. [Required]
• Minimum 5 years of experience working with cloud-based data platforms, such as AWS, Azure, or Google Cloud, particularly for data storage, processing, and analytics. [Required]
• 2 years of demonstrated experience leading and mentoring data engineering teams, fostering collaboration, and ensuring successful project execution. [Required]
• Experience working in an Agile organization using Scrum, Kanban, Jira, Confluence, and SAFe.

Skills

• Ability to design and maintain scalable cloud-based data infrastructure.
• Ability to design and implement ETL pipelines using AWS services.
• Ability to establish and enforce data governance practices.
• Ability to maintain data catalogs and governance tools.
• Ability to support data mesh architecture, integration, operations, and maintenance.
• Ability to communicate effectively with stakeholders.
• Ability to provide guidance, leadership, and team-specific training.