Leads technical consulting engagements and small delivery teams while advising clients on software and infrastructure modernization. Responsibilities include architectural discovery, distributed systems design, scalability and performance analysis, Azure and hybrid infrastructure assessments, technical debt evaluation, codebase analysis, executive reporting, modernization roadmaps, architecture diagramming, and infrastructure automation. The role also manages stakeholders, mentors technical staff, facilitates discovery sessions, and presents recommendations to senior executives.
Allata is a global consulting and technology services firm founded in 2016, with 350+ employees across the US, India, and Argentina. We partner with some of the world's largest enterprises to move AI from idea to production — building intelligent agents, data foundations, and governance frameworks that scale.
Our teams work at the intersection of strategy, engineering, data, and design, helping clients modernize their technology, unlock data value, and create meaningful digital experiences. At Allata, you'll join an agile, cross-functional team that works closely alongside clients — making a real impact and building lasting partnerships.
We are looking for an experienced Technical Consulting Manager & Lead Solutions Architect to lead consulting engagements and partner with client stakeholders to evaluate, design, and modernize complex software and infrastructure architectures. In this role, you will wear two key hats: acting as the Engagement & Technical Lead driving small, high-performing consulting teams to successfully deliver milestones on time, while simultaneously serving as a trusted technical advisor to client leadership and engineering teams. You will lead architectural discoveries, scalability and technical debt evaluations, infrastructure assessments on Azure and hybrid environments, and synthesize actionable modernization roadmaps.
Hard Skills:
- Technical Delivery & Team Leadership: Proven experience leading technical workstreams and small consulting teams (analysts, engineers, specialists); assigning tasks, reviewing work output, synthesizing disparate findings into unified deliverables, and keeping engagements on scope and on schedule.
- Architecture & System Design: Deep experience evaluating and designing distributed software architectures, high-throughput telemetry/data pipelines, microservices, API gateways, and message-driven systems.
- Scalability & Performance Analysis: Proven ability to identify architectural and infrastructure bottlenecks (CPU, memory, I/O, database concurrency, network) and evaluate readiness for exponential growth (horizontal vs. vertical scaling).
- Cloud & Hybrid Infrastructure: Hands-on expertise with Microsoft Azure (App Gateways, VNet topology, load balancers, compute, security) and on-premises / colocation virtualization platforms (Linux, Proxmox, VMware, KVM).
- Codebase & Technical Debt Evaluation: Ability to guide the team in analyzing multi-stack codebases and system topologies to uncover architectural couplings, fragile integration points, and structural risks.
- Deliverable Synthesis & Diagramming: Track record of authoring executive-level technical reports, prioritized modernization roadmaps, and industry-standard architecture/topology diagrams (C4 model, Visio, Lucidchart).
- IaC & Automation Fundamentals: Working knowledge of Infrastructure as Code (Terraform, Bicep, ARM templates), containerization (Docker), and modern CI/CD pipelines (Azure DevOps, GitHub Actions, GitLab CI).
Nice to have:
- Microsoft Azure Certifications (e.g., Azure Solutions Architect Expert AZ-305, Azure Administrator AZ-104).
- Prior experience within professional services or technology consulting firms.
- Experience with high-volume telemetry ingestion, event streaming, or cybersecurity/SOC platforms (SIEM, SOAR, alert correlation engines).
- Familiarity with cloud migration roadmapping (on-prem/colo to Azure cloud) and high-level AI-readiness architectures.
Soft Skills / Business Specific Skills:
- Client & Stakeholder Management: Excellent written and spoken English; experienced in facilitating SME discovery sessions, navigating client dynamics, managing executive expectations, and delivering polished final readouts to C-level stakeholders.
- Team Enablement & Mentorship: Strong ability to provide direction, mentor technical analysts/engineers, unblock challenges, and ensure deliverable quality control.
- Strategic Prioritization & Analytical Thinking: Ability to translate complex engineering risks into clear business impacts, helping clients prioritize near-term remediation vs. long-term investments.
- Ownership & Drive: Highly organized, proactive, and resilient in navigating ambiguity and tight, time-boxed project schedules.
At Allata, we value differences.
Allata is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Allata makes employment decisions without regard to race, color, creed, religion, age, ancestry, national origin, veteran status, sex, sexual orientation, gender, gender identity, gender expression, marital status, disability or any other legally protected category.
This policy applies to all terms and conditions of employment, including but not limited to, recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Similar Jobs
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handles inbound calls and warm leads to understand customers’ insurance needs, recommend appropriate Property & Casualty coverage, and convert prospects into policyholders. The role includes paid licensing and training, customer consultation, sales closing, brand representation, and maintaining a reliable remote work environment. Employees must work four weekdays and one weekend day, meet home-office and internet requirements, and remain in their resident state for at least one year.
Top Skills:
PcWired High-Speed Internet
AdTech • Cloud • Marketing Tech • Productivity • Software • Analytics • Automation
Own Acquia’s technology alliance strategy across ISV, OEM, platform, DAM, and content-creation partners. Manage strategic relationships including AWS, develop co-sell and marketplace motions, recruit and launch integrations, build OEM revenue models, and execute joint go-to-market programs. Lead cross-functional collaboration with Product, Marketing, and Sales while managing, coaching, and growing a team of technology alliance managers.
Top Skills:
Acquia Digital Experience PlatformAkamaiAWSCloud MarketplacesCloudflareCmsDamDrupalFigmaHubspotSaaSSalesforce
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Design end-to-end point-of-sale experiences for restaurant staff across terminal and handheld surfaces. Translate complex workflows such as ordering, payments, splits, modifications, and voids into fast, reliable, error-resistant interfaces. Partner with product, engineering, and research teams; conduct discovery, create prototypes and high-fidelity designs, address edge cases, communicate tradeoffs, and use research and business metrics to guide decisions. The role requires strong visual design, autonomy, collaboration, and an AI-first approach.
Top Skills:
Ai ToolsHandheld DevicesPoint-Of-Sale TerminalsPrototyping
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


.jpg)
