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AWS Platform Architect

Data Ideology is a data, analytics, and AI consulting firm that helps businesses leverage their data to improve efficiency and achieve measurable outcomes.

Data Ideology

Employee count: 51-200

United States only

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Data Ideology

At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals passionate about learning, understanding, collaborating, and intellectually curious. For more information about Data Ideology, visit www.dataideology.com

AWS Platform Architect - (Contract 1099)

The AWS Platform Architect will support the design and implementation of strategies that emphasize data ownership, quality, and lifecycle management. This role plays a key part in building a strong foundation for organizational data analytics by ensuring data is reliable, accessible, and well-managed across complex, multi-tenant medallion lakehouses.
This is a hands-on, cross-functional role working closely with both business and technical stakeholders to operationalize AWS platform architecture, multi-tenant security, and real-time event-driven practices across the organization

Responsibilities
To perform in this position successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Other duties may be assigned to meet business needs.

  • Strategy & Analysis: Lead AWS platform design (VPC, IAM, networking) and define S3 storage patterns across Bronze, Silver, and Gold medallion layers; produce Architecture Decision Records (ADRs) with explicit trade-off rationale.
  • Technical Execution: Author production-ready Terraform modules with state management and remote backends; implement multi-tenant security (ABAC/RBAC, Lake Formation row/column filters, and KMS encryption).
  • Quality & Problem Solving: Ensure strict tenant isolation across storage and compute layers; design real-time service layers spanning IoT Core, AppSync, and EventBridge/Kinesis with mTLS and secure protocols.
  • Collaboration and Communication: Serve as the primary technical authority for all cloud infrastructure decisions; lead technical sessions with enterprise security, IT, and DevOps teams to ensure architectural conformance.
  • Documentation: Define and document reference blueprints, CDC/streaming partitioning strategies, operational runbooks, cost-tagging standards, and CloudWatch observability patterns.

Supervisory Responsibilities: None

Qualifications

Education and Experience:

  • Bachelor’s degree in Computer Science, Engineering, or equivalent professional experience; AWS certifications (Solutions Architect Pro or Security Specialty) are highly preferred.
  • 7+ years of experience in Cloud Infrastructure or Platform Engineering, with a proven track record of leading multi-tenant AWS data platforms and event-driven architectures.
  • Expert-level hands-on proficiency with AWS core services (S3, Glue, Redshift, Lake Formation, IoT Core, KMS) and authoring complex Terraform modules with remote state management.
  • Deep experience building and maintaining CI/CD pipelines for infrastructure, including environment promotion (Dev/Stage/Prod), drift detection, and automated validation.
  • Solid networking fundamentals, including VPC design, PrivateLink, and identity federation patterns (SAML/OAuth2/mTLS).
  • Demonstrated ability to design airtight data isolation at scale (ABAC/RBAC) and produce builder-ready technical standards such as Architecture Decision Records (ADRs).
  • Strong financial acumen with the ability to track AWS spend against cost models and drive optimization through resource tagging and architectural efficiency.

Work Environment:

  • Remote work from home.
  • Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs.

Physical Demands:

  • Must be able to remain in a stationary position 50% of the time.
  • The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc.
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer.
  • The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations.

Data Ideology is an EEO Employer

About the job

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Job type

Contractor

Experience level

Education

Bachelor degree

Experience

7 years minimum

Experience accepted in place of education

Location requirements

Hiring timezones

United States +/- 0 hours

About Data Ideology

Learn more about Data Ideology and their company culture.

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Data Ideology is a woman-owned data, analytics, and AI consulting firm founded in 2017. Headquartered in Pittsburgh, Pennsylvania, the company has established itself as a fast-growing consultancy serving large enterprises and mid-market companies, primarily across the Mid-Atlantic and Midwest regions of the United States. The firm specializes in helping organizations unlock the full potential of their data assets to drive measurable business outcomes and improve operational efficiency. Their core mission is to transform data into actionable insights by fostering a culture of empowerment and ownership of results. Data Ideology works closely with clients in various sectors, including healthcare, financial services, retail, and manufacturing, to solve complex business problems through strategic data solutions.

The company’s service offerings span the entire data and analytics lifecycle. This includes data strategy, where they help define clear roadmaps aligned with business goals; data engineering, which focuses on building secure and scalable data foundations and platforms; and business intelligence and analytics, which transform raw data into valuable insights. Data Ideology also has extensive expertise in data governance, ensuring control and accountability for responsible data usage. Furthermore, they are at the forefront of AI and machine learning, assisting clients in modernizing their data platforms and scaling artificial intelligence initiatives. Their approach is defined by speed, precision, and consistency, aiming to deliver tangible results and a faster time to value for their clients. The leadership team, co-founded by Becky Sargo and Michelle George, brings a wealth of experience in data analytics, information management, and strategic consulting, guiding the company's growth and commitment to excellence.

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Data Ideology

Company size

51-200 employees

Founded in

2017

Chief executive officer

Becky Sargo, Michelle George

Employees live in

View company profile

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