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Manager Network Administration
Sonepar
Hamilton, NJ
The Network Operations Manager is a key member of Sonepar's Infrastructure & Operations organization, responsible for the reliability, performance, security, and continuous improvement of…
Added 1 min ago
Principal AI Security Engineer
Kyndryl, Inc.
Remote, United States
Kyndryl is seeking a Principal AI Security Engineer to secure internal AI solutions, agents, copilots, model platforms, and frontier AI capabilities. This hands-on senior technical role…
Added 2 mins ago
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OCI Security Consultant
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- $100,000 to $150,000 USD / year
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Added 2 mins ago
Solutions Engineer, Federal (U.S. Navy)
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Added 3 mins ago
Sr. Software Engineer – AI and Automation (Team Breeze)
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…intersection of large language models (LLMs), cloud-native infrastructure, and real business impact. If you've shipped AI agent systems to production and want to do it again at scale, we'd…
Added 3 mins ago
Design Engineer
Pexco
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…ways to provide internal design needs in the shortest possible lead time and with the simplest, most effective…
Added 8 mins ago
Software Dev Engineer - II, AWS EC2 Ultraservers
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The Software Development Engineer II will design, build, and maintain cloud-based repair and recovery workflows for Trainium UltraServers, orchestrating repair and recovery operations from…
Added 8 mins ago
Controls Integration Engineer, One MHS | Systems Integration and Flow
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The Controls Integration Engineer defines how automated material handling systems operate and owns the site-specific setup of the controls application software that runs them, assembling…
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Devops Lead
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We are seeking a highly experienced DevOps Engineer / Lead with 12+ years of experience to drive automation, CI/CD, cloud adoption, and platform engineering initiatives. The role requires a…
Added 10 mins ago
Site Reliability Engineer
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As a Site Reliability Engineer, you will keep Priority's payment, payables and banking platforms available, fast and recoverable. You will be the dedicated SRE for a product workstream:…
Added 15 mins ago
Staff Software Engineer
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Design and develop product components, refine code plans, and lead design reviews to ensure completeness and adherence to requirements.
Added 19 mins ago
Principal Cybersecurity Engineer - Enterprise Security Engineering
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As a Principal Cybersecurity Engineer on the Enterprise Security Engineering team, you will serve as a senior technical authority across our corporate endpoint fleet and an architect of our…
Added 20 mins ago
Senior Systems Engineer - Verification
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Leidos Defense is seeking a Senior-Level Systems Engineer to join the IFPC Inc 2 systems engineering team. The IFPC Inc 2 is a ground-based, mobile system that aims to combat cruise…
Added 20 mins ago
Senior Ocean Engineer
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Leidos is seeking a Senior Ocean Engineer to support cutting-edge engineering efforts within the Undersea Systems Division. This role is a unique opportunity to support design and…
Added 21 mins ago
Sr. AI Engineer - IT
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LogicMonitor® is the AI-first hybrid observability platform powering the next generation of digital infrastructure. LogicMonitor delivers complete visibility and actionable intelligence…
Added 21 mins ago
Staff Software Engineer
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The Staff Software Engineer will lead the design and evolution of a modern, scalable Data-as-a-Service (DaaS) platform that supports Intuitive Digital products and enables more than 2,000…
Added 21 mins ago
Senior Software Engineer
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The Senior Software Engineer will design, build, and evolve key components of a modern, scalable Data-as-a-Service (DaaS) platform that supports Intuitive Digital products and serves more…
Added 24 mins ago
Sr Electrical Design Engineer
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Job Title: Senior Electrical Design EngineerJob DescriptionThe Senior Electrical Design Engineer provides advanced technical expertise in facilities and industrial power systems, delivering…
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Principal Systems Engineer
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The Principal Systems Engineer is responsible for the architecture, design, implementation, automation, configuration, and support of complex enterprise infrastructure across on-premises,…
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Cloud Engineer
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Develop and lead tools, frameworks, infrastructure, templates, etc. for configuring, building and deploying platform and cloud applications in an automated manner.
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Senior Mechanical Engineer, Kiewit Infrastructure Engineers
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Added 27 mins ago
Lead Mechanical Engineer - Fuel & Fluid Systems
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Added 29 mins ago
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Principal Support Engineer
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Electrical Engineering Manager 60 Hz
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Lead diverse, global team composed of employees, staff augmentation contractors, architect engineer (A/E) firms, and engineering service providers with defined scope sub- contracts to…
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Lead Software Engineer - Java Full Stack
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Wells Fargo is seeking a Lead Software Engineer as part of the Commercial and Corporate & Investment Banking Technology (CCIBT) team to support Payment Solutions, Capital Markets Services,…

General Datatech, LP

Practice Director, Data Architecture

Remote, United States

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Job details

Posting language: English
Posted: Nov 2, 2026

Original job description

Join GDT and be part of a dynamic team where innovation meets excellence! At GDT, our employees are the cornerstone of our success. GDT offers a people-first culture focused on inclusivity, growth, and innovation. Employees have access to career development opportunities, cutting-edge technology, and a collaborative environment. Employees are empowered to make a meaningful impact and are recognized for their contributions. As a global IT services company, we prioritize attracting, empowering, and retaining top-tier talent dedicated to delivering exceptional results.

Job Summary The Practice Director, Data Architecture partners with GDT clients to design and govern enterprise data frameworks, pipelines, and cloud storage systems optimized to feed and support artificial intelligence (AI), machine learning (ML), and large language model (LLM) workloads. The role translates business objectives into secure, scalable, and cost-effective data architectures that support trusted AI outcomes. This client-facing role works across data science, data engineering, software development, security, infrastructure, and business teams to guide strategy and delivery. This role also helps build GDT’s Data Practice by developing reusable methods, reference architectures, delivery standards, and solution capabilities.

Key Responsibilities

· Lead discovery, assessment, and architecture engagements to define the data foundation for client AI, ML, and LLM initiatives. · Build and oversee scalable ingestion, storage, and processing pipelines using ETL/ELT patterns for large volumes of structured and unstructured data. · Design data flows for training, fine-tuning, retrieval-augmented generation (RAG), batch scoring, real-time inference, and downstream applications. · Define architecture standards for cloud and hybrid environments across AWS, Azure, and Google Cloud Platform. · Design data lakes, lakehouses, warehouses, vector databases, feature stores, and supporting platform services based on client needs. · Recommend modular, portable technology patterns that support interoperability, avoid unnecessary vendor lock-in, and scale with evolving workloads. · Translate business goals and operating constraints into architecture decisions, roadmaps, implementation plans, and measurable outcomes. · Review and validate solution designs for scalability, operability, portability, security, performance, and cost effectiveness. · Create architecture artifacts, reference designs, standards, decision records, and implementation guidance for delivery teams. · Support presales, scoping, estimates, statements of work, implementation guidance, operational readiness, and knowledge transfer. · Help build and mature the Data Practice through reusable delivery assets, methods, accelerators, and technical standards. · Contribute to practice enablement, mentoring, partner alignment, thought leadership, and go-to-market capabilities. Knowledge, Skills, and Abilities · Ability to work with clients and account teams to understand functional and non-functional requirements and collaborate across teams to architect, design, validate, and deliver solutions.

Strong understanding and practical experience with:

· Cloud data and AI services on one or more major platforms: AWS (including Redshift and SageMaker), Microsoft Azure (including Azure ML), or Google Cloud (including Vertex AI). · Advanced SQL, data modeling, database design, performance, and database security. · Python, Apache Spark, Kafka or comparable streaming technologies, and distributed data processing. · MLOps tools and practices, including MLflow, Kubeflow, model lifecycle management, CI/CD, and observability. · RAG pipelines, embedding generation, vector search, model fine-tuning, evaluation, and inference architectures. · Data lakes/lakehouses, data warehouses, vector databases, feature stores, and cloud storage patterns. · Data governance, quality, lineage, privacy, security, compliance, and access control. · Experience publishing architecture strategies, standards, and guidelines that support consistent, repeatable designs. · Mastery in requirements gathering and analysis, with the ability to translate business needs into technical architectures and roadmaps. · Excellent communication, presentation, facilitation, and stakeholder-management skills, including the ability to explain complex technical concepts to diverse audiences. · Self-starter able to operate with a high degree of latitude, handle complex issues, and drive outcomes across multiple stakeholders.

Experience · Minimum 7+ years of experience in data architecture, data engineering, cloud architecture, analytics platforms, or a related discipline, including enterprise-scale solution design. · Demonstrated experience designing and governing data platforms and pipelines that support AI/ML workloads in production environments. · Experience working directly with clients and account teams to understand business outcomes, define requirements, and translate them into secure, scalable data architectures and delivery plans.

Demonstrated background in:

· Enterprise data architecture and modeling, including conceptual, logical, and physical data models. · Cloud data platforms across AWS, Microsoft Azure, and/or Google Cloud Platform. · Scalable ingestion and processing patterns for structured and unstructured data, including ETL/ELT, batch, and streaming architectures. · AI/ML data foundations, including feature stores, vector databases, RAG pipelines, embeddings, model fine-tuning, and inference architectures. · Data governance, lineage, quality, security, privacy, compliance, and observability. · Client-facing consulting, architecture reviews, roadmap planning, and cross-functional delivery leadership.

Education · Bachelor’s degree in Computer Science, Data Science, Information Systems, Information Technology, Engineering, or a related field; equivalent experience will be considered.

Certifications

Preferred (nice to have):

· AWS Certified Solutions Architect, AWS Certified Machine Learning, or comparable AWS certification. · Microsoft Certified: Azure Solutions Architect Expert, Azure AI Engineer Associate, or comparable Azure certification. · Google Professional Cloud Architect, Professional Machine Learning Engineer, or comparable Google Cloud certification. · Relevant Databricks, Snowflake, Kubernetes, data governance, security, or MLOps certifications.

GDT IS AN EQUAL OPPORTUNITY EMPLOYER. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sex, marital status, gender identity or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.

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