Gainwell Technologies LLC

Gainwell Technologies LLC

Principal, Database Architect

US · Principal · Full-time

Sponsorship not specified$119k-$170kDetected 36 days ago
Cloud PlatformsTCP/IPFirewallLeadershipCommunicationCollaboration

Stay score

odds of building a lasting career here

57Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Employer immigration record

from this employer's Department of Labor filings

Green-card follow-through: 100%

Of 6 labor certifications old enough to have been used, 0 expired without the employer filing the next step. Median time from filing to decision: 484 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

DOL often reclassifies their job titles

The Department of Labor assigned a different occupation than this employer requested on 46% of its 13 wage determinations — against a 18% norm. The occupation sets the prevailing wage floor.Reclassification is routine and can reflect genuinely hybrid roles; it is not by itself evidence of underpayment.

Files H-1B transfers

10 transfer filings in the last year, covering 10 workers. Median labor-condition decision: 9 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • Working at Gainwell carries its rewards.
  • You'll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development.
  • You'll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance.

Responsibilities

  • Design and define MMIS data architecture standards supporting data conversion, integration, reporting, and downstream operational use.
  • Leverage AI-assisted and intelligent automation techniques to accelerate data design, profiling, validation, reconciliation, and documentation workflows while maintaining strong governance and human review.
  • Collaborate with data conversion managers, architects, analysts, and developers to align conversion design with target-state architecture.
  • Establish and maintain data architecture artifacts including source-to-target mappings, canonical models, data dictionaries, and governance standards.
  • Ensure data designs support CMS requirements, audit readiness, reporting needs, and operational performance expectations.
  • Partner with infrastructure and cloud teams to ensure alignment with hosting, security, and performance standards.

Requirements

  • 3+ years of experience applying AI-assisted or intelligent automation capabilities to accelerate data workflows within governed enterprise environments.
  • Experience working across the full software development life cycle (SDLC) in large, complex implementation programs.
  • Strong communication skills with the ability to explain complex data concepts to technical and non-technical stakeholders.
  • Video cameras must be used during all interviews, as well as during the initial week of orientation

Compensation

  • $119k-$170k

Company info

  • Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities.

This listing is sourced directly from Gainwell Technologies LLC's careers page and normalized into a canonical job model.