Jobs in the United States

25+ jobs

Group jobs by employerEmail me new jobs Save this search

Added 1 min ago
OT Systems Engineer
SpaceX
Memphis, TN
SpaceX is looking for a highly skilled and versatile OT (Operational Technology) Systems Engineer to implement and support the backend infrastructure for our next-generation controls and…
Added 2 mins ago
Cloud Platform Engineer| St. Louis, MO (Onsite or Weekly Travel Required)
Accenture Federal Services
St. Louis, MO
We are seeking a highly skilled, hands-on Cloud Platform Engineer to build, automate, and support enterprise cloud infrastructure and shared services across Azure and AWS environments. This…
Added 5 mins ago
Senior Data Engineer - AI Infrastructure Integration, High Performance Compute
Bank of America, National Association
United States
The Artificial Intelligence (AI) Sr. Data Engineer will design, build, validate, and operationalize AI-enabled solutions that improve infrastructure, technology operations, and enterprise…
Added 22 mins ago
Sr. Site Reliability Engineer
Ally Bank
Detroit, MI · Charlotte, NC
Hybrid roles are generally expected to be in the office a certain number of days per week as indicated by your manager
Added 30 mins ago
Senior Platform Engineer
Swivel Transactions LLC
San Antonio, TX
…and self‑service capabilities that meaningfully accelerate engineering teams. This is a hands‑on, highly technical role where you’ll influence platform standards, embed reliability and…
Added 40 mins ago
Lead, Embedded Software Test Engineer (Optical Space Systems) : Sign-on bonus ($30K max)
L3Harris
Wilmington, MA
Experience with DevOps tools including Jira, Bitbucket, Jenkins, and Confluence.
Added 40 mins ago
Application Platform Technical Lead
Kelly Services
Boston, MA
…architecture and continued evolution of its Tetra Apps platform, the application runtime powering its next-generation scientific intelligence operating system. This full-time opportunity…
Added 50 mins ago
W
Software Engineeer 2
Wyetech
Laurel, MD
- $85.64 to $115.97 USD / hour
Wyetech is seeking a Software Engineer (SWE) Level 2 – Machine Learning Deployment Engineer to move video, image, speech, and text analytics (VISTA) models from research prototype to…
Added 57 mins ago
INTEGRATION AND AUTOMATION ENGINEER - 1
Liberty Health
Wilmington, NC
Must have a valid driver's license
Added 1 hour ago
ETS Developer IV- Core Payments
Navy Federal Credit Union
Pensacola, FL
Experience with CI/CD and modern engineering practices using tools and technologies such as Azure DevOps, GitHub, Jenkins, SonarQube, Docker, and Kubernetes/AKS.
Added 1 hour ago
Senior DevOps Engineer
HubSpot
Remote, United States
As a Senior DevOps Engineer, you’ll design and operate the infrastructure that supports high-traffic, data-intensive marketing platforms and systems. You'll also work across our Cloudflare…
Added 1 hour ago
Software Engineer, Senior
Republic Airways Inc.
Indianapolis, IN
Updates job knowledge by studying state-of-the-art development tools, programming techniques, and computing concepts; participating in educational opportunities; reading professional…
Added 1 hour ago
Sr Software Engineer I (AWS - Hybrid Role)
Principal Financial Group
Raleigh, NC · Charlotte, NC
As a Senior Software Engineer on Agent Enablement, you'll build the internal platform and developer tooling that other engineering teams rely on to build, test, and operate AI agents.…
Added 2 hours ago
DevOps Engineer | Luma
Dotmatics
Boston, MA
Dotmatics is seeking a DevOps Engineer to join our team working on ground-breaking Scientific Software products such as Luma. In this role, you will have the opportunity to apply your…
Added 2 hours ago
Principal Machine Learning Engineer
Vail Resorts
VT
The Data Science & Data Engineering team within the Enterprise Analytics organization builds data assets, predictive models, analytical applications, and platforms across the organization.…
Added 2 hours ago
AE
Agentic AI Infrastructure Engineer II - Core Platforms
American Express
Phoenix, AZ
- $89,250 to $150,250 USD / year
Integrates AI-assisted tools and prompt engineering techniques into deployment, monitoring, and infrastructure support workflows to improve efficiency and reduce manual intervention,…
Added 2 hours ago
AE
Senior Agentic AI Infrastructure Engineer I - Core Platforms
American Express
Phoenix, AZ
- $123,000 to $215,250 USD / year
The AI Infrastructure Engineer collaborates with application and platform teams to design, implement, and optimize secure, scalable infrastructure solutions for AI-enabled workloads. This…
Added 2 hours ago
Principal Machine Learning Engineer
Vail Resorts
WY
The Data Science & Data Engineering team within the Enterprise Analytics organization builds data assets, predictive models, analytical applications, and platforms across the organization.…
Added 2 hours ago
Markets Technology - Site Reliability Engineer, VP
Citigroup
Jersey City, NJ
The Site Reliability Engineer is based in North America (NAM) to serve as the regional pillar of our global reliability engineering function within Markets Technology. In this role, you…
Added 3 hours ago
Principal Machine Learning Engineer
Vail Resorts
PA
The Data Science & Data Engineering team within the Enterprise Analytics organization builds data assets, predictive models, analytical applications, and platforms across the organization.…
Added 3 hours ago
Senior Front End Software Engineer
Robert Half
Fort Washington, PA
Description We are looking for a Senior Front End Software Engineer to build modern, scalable web applications. This role combines hands-on Angular development with technical leadership,…
Added 3 hours ago
Director, IT Engineering, Data and Analytics
TAIT Towers
Lititz, PA
Lead TAIT's Enterprise Data, Integration and AI Engineering organization, responsible for enterprise applications, data platforms, cloud engineering, system integrations, analytics and AI…
Added 4 hours ago
Principal Machine Learning Engineer
Vail Resorts
NV
The Data Science & Data Engineering team within the Enterprise Analytics organization builds data assets, predictive models, analytical applications, and platforms across the organization.…
Added 4 hours ago
Principal Machine Learning Engineer
Vail Resorts
NH
The Data Science & Data Engineering team within the Enterprise Analytics organization builds data assets, predictive models, analytical applications, and platforms across the organization.…
Added 4 hours ago
M
Software Engineer II - CTJ - Poly
Microsoft
VA · WA · Reston, VA · Redmond, WA · Reston · Redmond
- $102,100 to $219,200 USD / year
The successful candidate must have an active U.S

TAIT Towers

Director, IT Engineering, Data and Analytics

Lititz, PA, United States

Apply on usnlx.com About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Nov 12, 2026

Original job description

TAIT partners with artists, brands, IP holders and place makers to bring culture-defining, never-before-seen experiences to life. With a legacy of innovation spanning over 45 years, TAIT has grown from pioneering in rock ‘n’ roll concert staging to setting the global standard for extraordinary live events and experiences through cutting-edge technology, precision engineering, and creative design. TAIT’s 20 global offices have developed iconic productions and experiences in over 30 countries, all seven continents, and even outer space for renowned performers, theme parks, exhibits, and venues across the globe, including partnerships with Taylor Swift, Cirque Du Soleil, Royal Opera House, Nike, NASA, Bloomberg, Google, Beyoncé, and The Olympics

Position Purpose

Lead TAIT's Enterprise Data, Integration and AI Engineering organization, responsible for enterprise applications, data platforms, cloud engineering, system integrations, analytics and AI enablement. This hands-on technology leader drives delivery across Databricks, AWS, MuleSoft, data engineering, application development and enterprise architecture while building scalable platforms, modernizing legacy systems and enabling business growth through trusted data and governed AI solutions.

Responsibilities

Lead people and enterprise IT engineering

Own the roadmap delivery with the VP, Enterprise Applications and Transformation Architect, prioritizing business value, risk, dependencies, cost and capacity. Coach teams and partners; establish standards, accountability, career development and knowledge sharing.
Contribute directly to architecture, code, reviews, pipelines, integrations and troubleshooting. Partner with business, application, Cybersecurity, Infrastructure and change leaders to deliver maintainable solutions and reduce key-person dependency.
Lead multidisciplinary teams across software engineering, data engineering, analytics, cloud engineering, enterprise integration and AI solutions.

Build modular platforms and integrations

Use commercial platforms for transactions and controls, favoring configuration over customization. Build TAIT differentiators through loosely coupled services, common enterprise objects and governed data exchange.
Lead MuleSoft adapters, custom connectors and orchestration (directors), separating system mappings from business logic. Require authenticated APIs, semantic versioning, events, idempotency, retries, reconciliation, monitoring, mocks and contract tests; expose approved capabilities through Model Context Protocol (MCP).
Establish enterprise integration architecture standards supporting ERP, CRM, PLM, HCM and operational systems using API-led connectivity and event-driven architecture principles.

Review and modernize legacy custom application

Assess legacy custom applications, scripts and integrations with business owners to confirm business value, usage, dependencies, security, supportability and cost. Prioritize what to retain, replace with commercial capabilities, modernize or retire; preserve valuable business logic and institutional knowledge
Modernize and redeploy selected solutions using current platforms, supported frameworks, cloud services and AI-assisted engineering where appropriate. Refactor into maintainable components with governed APIs and data access, automated testing, CI/CD, monitoring and documentation; validate business outcomes and data reconciliation before transition, with clear ownership, training and rollback plans.
Drive application modernization and digital transformation initiatives that improve scalability, reliability, user experience and operational efficiency.

Curate trusted enterprise data

Mature Databricks Lakehouse Platform on AWS, leveraging Delta Lake, Unity Catalog, Bronze raw data, Silver cleaned and historical data, and certified Gold products for projects, labor, finance and operations. Build batch, change-data-capture and streaming pipelines; define common objects, authoritative sources and metrics with business owners.
Lead governance with data owners and stewards. Align Unity Catalog with existing Microsoft Purview catalogs and glossaries; maintain classifications, source-to-report lineage, access approvals, quality checks, remediation ownership and retention, archiving, backup and secure destruction controls.

Deliver analytics and governed AI

Migrate SQL warehouse, ETL and Power BI workloads to Databricks through reconciled phases. Enable employee self-service analysis, dashboards and ChatGPT/Claude experiences over certified Gold data and shared semantic models; preserve permissions, traceability and consistent business definitions.
Build reusable TAIT Intelligence Layer services using retrieval-augmented generation (RAG), governed tools and agentic orchestration for quoting, engineering reuse, project forecasting and operational exceptions. Turn prototypes into supported products with ownership, service levels, release criteria and measurable value.
Lead enterprise adoption of Artificial Intelligence (AI), Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and intelligent automation solutions to improve productivity and decision-making.
Engineer AI for security, privacy and resilience: least-privilege agent identities, segregation of duties, approved vendor/data-use terms, prompt-injection defenses, human approvals, audit evidence, tested recovery and non-AI fallback. Version prompts/models; evaluate accuracy, latency, cost and drift. Keep authoritative posting in commercial systems.

Lead migration and reliable delivery

Publish a systems and people transition plan covering dependencies, delivery waves, training, hiring and partners. Plan coexistence, reconciled migrations, cutover rehearsals and rollback; retire temporary bridges, redundant reports and agreed legacy/Autodesk dependencies.
Support ERP, PLM, MES, rental and HCM/payroll modernization and acquisitions through reusable interfaces. Develop SQL, BI and application specialists for cloud data, integration and AI; enable senior engineers to supervise partner delivery.
Balance quality and speed through Jira, small releases, acceptance criteria, code review, automated testing and CI/CD. Own monitoring, incidents, runbooks and recovery; manage technical debt and cloud/AI costs. Track lead time, defects, data freshness, adoption and verified benefits.

Management Responsibility

Directly manage Engineering, Data and Analytics employees and specialist partners, with accountability for hiring, performance, development, succession, capacity and delegated budgets.

Position Requirements

Bachelor’s degree in computer science, engineering, information systems or a related field, or equivalent practical experience;
8+ years of progressive experience in software engineering, data engineering, enterprise applications, cloud platforms or systems integration, including 3+ years leading technical teams, managers, or cross-functional engineering organizations.
Hands-on expertise with Python, SQL, Databricks Lakehouse Platform, cloud-native data engineering and enterprise analytics solutions; AWS cloud architecture including IAM, S3, networking, orchestration, observability and performance optimization.
MuleSoft Anypoint or similar, DataWeave, REST/JSON, event-based integration and secure API lifecycle management and enterprise integration patterns; Git, Jira, DevOps, automated testing, infrastructure as code and CI/CD.
Successful data platform modernization, cloud migration, Power BI modernization, analytics transformation and production AI/Generative AI deployments, including governance, model evaluation and operational support; experience leading workforce development, organizational change, technology transitions and strategic partners.
Must possess the right to work in the US.

Preferred Experience

Global project-based or engineer-to-order manufacturing; integrations across ERP, Salesforce, Kantata/PSA, Autodesk Vault/Fusion Manage, MES/EAM, rental, HCM/payroll and collaboration platforms.
Purview governance, master data, semantic models, full-stack/quoting applications, enterprise ChatGPT/Claude, identity federation, FinOps or M&A integration. Relevant Databricks, AWS or MuleSoft certifications.

TAIT Benefits:

Competitive medical, dental, and vision insurance plans
Health Savings Account (HSA) with employer contributions (HDHP plans)
Flexible Spending Accounts (Medical & Dependent Care)
Employer-paid life insurance with optional supplemental coverage
Employer-paid Short-term with optional long-term disability insurance
401(k) retirement plan with company match
Paid parental leave
Employee Assistance Program (EAP)
Wellness stipends
Voluntary benefits (e.g., accident, critical illness
Paid vacation and 12 holidays

TAIT is an equal opportunity employer fully committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran or any other protected characteristic as outlined by international, national, state, or local laws.

Apply on usnlx.com About employer

Report this job

Work requirements

Jobs in the United States