Lead enterprise platform strategy and architecture for cloud, data, and AI platforms (Fabric, Databricks, Synapse, OpenAI/Foundry). Own platform lifecycle, establish standards and guardrails, drive modernization and cost optimization, influence governance, mentor senior engineers, and partner with executives to translate strategy into platform capabilities.
Essential Responsibilities
- Define enterprise-wide platform strategy, vision, and target-state architectures for platforms such as Microsoft Fabric, Foundry/OpenAI, Databricks, and Synapse. Own the end-to-end lifecycle of cloud platforms.
- Establish standards and guardrails across all platform engineering domains.
- Drive innovation in cloud, data, and AI platforms (Fabric, OpenAI/Foundry, etc.).
- Lead large-scale transformation initiatives (e.g., platform modernization, DC exit, AI adoption).
- Act as the highest-level escalation point for technical decisions and complex issues.
- Influence enterprise architecture boards, governance, and regulatory alignment.
- Drive cost optimization strategies and large-scale efficiency improvements.
- Foster platform product mindset across the organization (self-service, reuse, enablement).
- Mentor senior and lead engineers; shape engineering culture and technical direction.
- Partner with executives and business leaders to translate strategy into platform capabilities.
Education & Years of Experience
- Minimum - 4 Year Bachelors Degree in Computer Science, Engineering or related
- Minimum - 10 Years of Platform engineering, cloud infrastructure, SRE roles or related
In Lieu of Education
- 12 Years of Supporting enterprise-level environments in platform engineering, cloud infrastructure or SRE roles or related
License/Certifications/Training
- Preferred - Azure DevOps Engineer Expert (or equivalent DevOps focused certification)
- Preferred - Fabric Analytics Engineer Associate (or equivalent data platform focused certification)
- Preferred - Azure AI Engineer Associate (or equivalent AI focused certification)
- Preferred - HashiCorp Certified: Terraform Professional (or equivalent IaC focused certification)
- Preferred - Azure Solutions Architect Expert (or equivalent Cloud focused certification)
Compensation & Benefits:
Typical hiring range: $119,400.00 to $204,600.00 Annually. Actual compensation will be determined using factors such as experience, skills & knowledge.
Benefits: Alliant provides a benefits package including health care, vision, dental, and 401k with employer match including:
- Annual performance bonus
- Work from home up to 3 days a week
- Paid parental leave
- Employee discount programs
- Time off including paid personal and sick days
- 11 paid holidays
- Education reimbursement
*Note that eligibility and cost of benefits can vary depending on the number of regularly scheduled hours, and job status such as regular full-time, regular part-time, or temporary employment.
Adhere to and ensure compliance of all business transactions with policy and process of the Bank Secrecy Act. Ensures compliance with all applicable state and federal laws, company procedures and policies. Maintains integrity and ethics in all actions and conversations with or regarding credit union members and their accounts; complies with Privacy Act directives.
The responsibilities listed do not contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this position. Duties, responsibilities and activities may change at any time with or without notice.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Similar Jobs at Alliant Credit Union
Fintech • Financial Services
Hybrid, second-line Model Risk role performing independent validations of statistical and AI models across credit, ALM, finance, underwriting and related areas. Assess data, conceptual soundness, performance, implementation and governance; prepare validation reports; support AI onboarding, remediation, vendor reviews, inventory maintenance and model risk governance.
Fintech • Financial Services
Lead design, implementation, and operation of Privileged Access Management (PAM) solutions. Define access controls, entitlements, policies, and session isolation; build least-privilege architecture; install, configure, maintain and monitor PAM platforms; produce documentation; coordinate cross-functional IAM improvements and manage project deliverables.
Top Skills:
Identity And Access Management (Iam)Privileged Access Management (Pam)Privileged Access Workstations (Paw)
Fintech • Financial Services
Process membership and deposit accounts and manage loan funding by reviewing documentation, coordinating with internal teams, disbursing funds, and ensuring regulatory compliance. Serve as primary member contact for account opening and loan inquiries, validate eligibility and signatures to prevent fraud, and support software testing and process improvements.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
