IT Data Architect

Ethos Risk Services

$100K — $130K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Information Technology, or related field preferred; relevant experience accepted as substitute.
  • 10+ years of SQL database design, development, and administration required.
  • Hands-on experience with Amazon Aurora (PostgreSQL and MySQL) required.
  • Preferred experience in AI/ML workflows in enterprise environments.
  • Experience in insurance, claims, or investigative services preferred.
  • Familiarity with sensitive data environments, e.g., HIPAA.
  • Preferred certifications: AWS Certified Database Specialty or AWS Solutions Architect.

Responsibilities

  • Lead the transition from Microsoft SQL Server to AWS Aurora and guide the overall data strategy.
  • Architect and manage AWS database services, including Aurora, RDS, and DMS.
  • Implement vectorized data storage solutions for ML and generative AI use cases.
  • Develop and maintain data models that support business needs.
  • Monitor, tune, and ensure optimal performance of database environments.
  • Establish frameworks for data governance, security, and compliance.
  • Collaborate with cross-functional teams including engineering and analytics.
  • Mentor team members and influence strategic architectural decisions.

Benefits

  • Remote work flexibility, primarily from home.
  • Opportunity to work within Eastern or Central Time Zone.
  • Engagement in cutting-edge technologies related to AI and data architecture.
  • Chance to lead strategic modernization initiatives in a growing team.
  • Opportunities for professional development and skill enhancement.
Full Job Description
JOB SUMMARY:

Our synergetic Ethos IT Team is growing and seeking a full-time Data Architect (REMOTE) to lead the modernization of our enterprise data environment. This role will be responsible for designing and implementing scalable, cloud-based data architecture, transitioning from on-prem systems to AWS, and enabling advanced analytics and AI capabilities across the organization.

Our ideal candidate is a forward-thinking Data Architect who thrives on modernizing data environments and building scalable, cloud-based solutions. They bring deep technical expertise, strong collaboration skills, and a proactive, solutions-oriented mindset to drive data strategy and innovation.

KEY RESPONSIBILITIES:
  • Data Architecture & Modernization - Lead transition from Microsoft SQL Server to AWS Aurora (PostgreSQL-compatible) and drive overall data strategy.
  • Cloud & Database Management - Architect and manage AWS database services, specifically Aurora (additionally RDS and DMS).
  • AI & Data Innovation - Implement vectorized data storage solutions to support machine learning and generative AI use cases.
  • Data Modeling & Integration - Develop and maintain logical and physical data models aligned with business needs.
  • Performance Optimization - Monitor, tune, and ensure high-performing database environments.
  • Data Governance & Security - Establish frameworks for compliance, security, and data integrity.
  • Cross-Functional Collaboration - Partner with engineering, analytics, and business teams.
  • Technical Leadership - Mentor team members and contribute to strategic architecture decisions.
  • Documentation & Standards - Maintain architecture documentation, standards, and best practices.


QUALIFICATIONS:

Education: A Bachelor's degree in Computer Science, Information Technology, or a related field is preferred. Relevant experience may be a substitute for formal education.

Experience:
  • Minimum of 10+ years of SQL database design, development, and administration (required).
  • Hands-on experience with Amazon Aurora database technologies, specifically Aurora PostgreSQL and Aurora MySQL (required).
  • Background supporting AI/ML workflows in enterprise environments (preferred).
  • Experience in insurance, claims, or investigative services (preferred).
  • Experience working with sensitive data environments (e.g., HIPAA).

Certifications:
  • AWS Certified Database Specialty or AWS Solutions Architect (preferred).

Skills:
  • Advanced expertise in Microsoft SQL Server (T-SQL, SSIS, SSRS) and PostgreSQL.
  • Strong knowledge of data modeling, ETL processes, and data warehousing.
  • Experience with vector databases (e.g., OpenSearch, pgvector, Pinecone).
  • Understanding of data security, privacy, and disaster recovery.
  • Strong communication and cross-functional collaboration skills.


WORKING CONDITIONS:

This is a primarily remote position working in a home office environment, with a preference for candidates able to work within Eastern or Central Time Zone business hours. The role requires prolonged periods of sitting or standing while operating a computer and other office equipment. Occasional travel may be required, including overnight stays. Frequent communication with team members, clients, and stakeholders is expected.

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