Wavicle Data Solutions LLC

Wavicle Data Solutions LLC

Alliance Partner Architect

Chicago, IL · Exec

Sponsorship not specified$135k-$150kDetected 238 days ago
DatabricksAWSGCPAzureLeadershipCollaboration

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 filing pattern in this occupation

Context, not a finding about this posting: of this employer's 3 green-card filings in this occupation, 100% were for a worker who already held the job.

Files H-1B transfers

2 transfer filings in the last year, covering 2 workers. Median labor-condition decision: 8 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

  • Wavicle is looking for a collaborative team member to join our Alliance team.

Responsibilities

  • You will work closely with Partner Managers, Account Managers, Solution Architects, and our technical teams to help execute co-sell initiatives, support pipeline growth, and enable internal teams to leverage partner programs effectively.
  • WIT brings together our proprietary accelerators, delivery models, and partner expertise into one powerful engine for transformation.
  • It's how we help clients move faster, reduce costs, and create lasting impact-and it's where your ideas, skills, and contributions can make a real difference.
  • Our work is deeply rooted in strong partnerships with AWS, Databricks, Google Cloud, and Azure, enabling us to deliver cutting-edge solutions built on the best technologies the industry has to offer.
  • The Alliance Partner Architect role supports growth through co-selling and joint go-to-market efforts with our strategic technology partners.
  • This role is ideal for someone with strong cloud fundamentals and emerging partner leadership experience.
  • You will act as a key liaison between our internal teams and partner field organizations, helping to align opportunities, joint messaging, and technical positioning.

Requirements

  • This role must have expertise in AWS and at some knowledge of at least one of the following: Databricks, Microsoft, or Google.
  • This role must have expertise in

Compensation

  • Competitive compensation and bonuses

Benefits

  • With over 500 team members across 42 cities in the U.S., Canada, and India, Wavicle offers a flexible, digitally connected work environment built on collaboration and growth.
  • Unlimited paid time off
  • Health, retirement, and life insurance plans

Company info

  • If you're passionate about solving complex problems, exploring what's next in AI, and being part of a team that values delivery excellence and career development-you'll feel right at home here.

Equal opportunity

  • EMPLOYER Wavicle is an Equal Opportunity Employer and committed to creating an inclusive environment for all employees.
  • We welcome and encourage diversity in the workplace regardless of race, color, religion, national origin, gender, pregnancy, sexual orientation, gender identity, age, physical or mental disability, genetic information or veteran status.
  • EQUAL OPPORTUNITY EMPLOYER Wavicle is an
  • Equal Opportunity Employer and committed to creating an inclusive environment for all employees.

This listing is sourced directly from Wavicle Data Solutions LLC's careers page and normalized into a canonical job model.