Data Architect / Program Lead

Talent Portus

Alaska

Hybrid

USD 150,000 - 210,000

Full time

12 days ago
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Job summary

Talent Portus is seeking a senior Data Architect / Program Lead to design and govern large-scale cloud data environments. You will lead data engineering teams, implement Data Mesh, and ensure governance, privacy, and data quality across platforms.

The role emphasizes hands-on AWS data services, ETL pipelines, and collaboration with stakeholders to align architecture with business goals, while supporting ongoing operations and training.

Qualifications

  • 8+ years of experience in Data Architecture.
  • Experience designing large-scale data lakes, data warehouses, and Data Mesh architectures.
  • 5+ years of experience with cloud-based data platforms (AWS/Azure/GCP).
  • Strong hands-on experience with AWS data services: S3, Redshift, Glue, Lake Formation, Lambda.
  • Experience with ETL pipeline design and implementation.
  • Hands-on experience with Data Mesh architecture and data products.
  • Strong knowledge of data governance, lineage, access controls, privacy, and catalogs.
  • 2+ years of experience leading or mentoring data engineering teams.
  • Strong stakeholder communication and technical leadership skills.

Responsibilities

  • Design and implement scalable data architectures, including data lakes, data warehouses, and Data Mesh frameworks.
  • Develop and maintain cloud-based data infrastructure using AWS and other cloud technologies.
  • Design and implement ETL pipelines using AWS services such as S3, Redshift, Glue, Lake Formation, and Lambda.
  • Develop and support domain-specific data products aligned with data architecture and governance standards.
  • Establish and enforce data governance, privacy, access control, lineage, and data quality practices.
  • Maintain data catalogs and automate governance workflows to improve data integrity and discoverability.
  • Lead the implementation and ongoing support of Data Mesh architecture.
  • Ensure availability, reliability, and operational support of data platforms.
  • Promote Data Mesh principles and provide technical training to data stewards and users.
  • Collaborate with technical and business stakeholders to align data architecture with organizational goals.
  • Lead and mentor data engineering teams and support successful project execution.
  • Work within Agile environments using Scrum, Kanban, SAFe, Jira, and Confluence.

Skills

Data Architecture
Data Mesh
Cloud Data Platforms
AWS
ETL
Data Governance
Data Catalogs
Leadership
Stakeholder Communication

Education

Bachelor's or Master's degree in Computer Science / Information Systems / Data Engineering

Tools

S3
Redshift
Glue
Lake Formation
Lambda
Jira
Confluence

Job description

Job Title: Data Architect / Program Lead

Location: Remote
Onsite: Occasional onsite visits to Clarksburg, WV, as needed
Duration: Long Term
Clearance: Active Secret Clearance or higher REQUIRED

Job Description

We are seeking a senior Data Architect / Program Lead with strong experience designing and implementing large-scale cloud data environments. The ideal candidate will have hands-on expertise in AWS data architecture, Data Mesh, data governance, ETL, and cloud-based data platforms, along with experience leading and mentoring data engineering teams.

Responsibilities
  • Design and implement scalable data architectures, including data lakes, data warehouses, and Data Mesh frameworks.

  • Develop and maintain cloud-based data infrastructure using AWS and other cloud technologies.

  • Design and implement ETL pipelines using AWS services such as S3, Redshift, Glue, Lake Formation, and Lambda.

  • Develop and support domain-specific data products aligned with data architecture and governance standards.

  • Establish and enforce data governance, privacy, access control, lineage, and data quality practices.

  • Maintain data catalogs and automate governance workflows to improve data integrity and discoverability.

  • Lead the implementation and ongoing support of Data Mesh architecture.

  • Ensure availability, reliability, and operational support of data platforms.

  • Promote Data Mesh principles and provide technical training to data stewards and users.

  • Collaborate with technical and business stakeholders to align data architecture with organizational goals.

  • Lead and mentor data engineering teams and support successful project execution.

  • Work within Agile environments using Scrum, Kanban, SAFe, Jira, and Confluence.

Required Qualifications
  • 8+ years of experience in Data Architecture.

  • Experience designing large-scale data lakes, data warehouses, and/or Data Mesh architectures.

  • 5+ years of experience with cloud-based data platforms such as AWS, Azure, or GCP.

  • Strong hands-on experience with AWS data services, including:

    • S3

    • Redshift

    • Glue

    • Lake Formation

    • Lambda

  • Experience with ETL pipeline design and implementation.

  • Hands-on experience with Data Mesh architecture and data products.

  • Strong knowledge of data governance, data lineage, access controls, privacy, and data catalogs.

  • 2+ years of experience leading or mentoring data engineering teams.

  • Strong stakeholder communication and technical leadership skills.

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

  • Experience working in Agile environments.

Clearance Requirement

Active Secret Clearance or higher is REQUIRED.

Candidates must be able to support occasional onsite requirements in Clarksburg, WV, including equipment pickup and in-person meetings when needed.

Candidate Profile

We are specifically looking for senior candidates with stable project histories and meaningful long-term engagements. Candidates with 1.5 2+ year project durations and genuine hands‑on Data Architecture, AWS, Data Mesh, and leadership experience are strongly preferred.

Candidates should be able to clearly explain their technical contributions and project experience during the interview.

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