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Join a dynamic team dedicated to pioneering solutions in artificial intelligence. We are seeking an AI Engineer to contribute to our client's Azure and Dynamics 365 Business Central team in Reston, VA. This onsite role is set to begin on November 24, 2025, and offers an exciting opportunity to engage with innovative projects in a collaborative environment.

**Key responsibilities and skills required:**

- Proficiency in Azure services and cloud-based architecture.
- Strong understanding of AI and machine learning concepts.
- Experience working with Dynamics 365 Business Central.
- Problem-solving skills and ability to design scalable AI solutions.
- Excellent communication skills for effective collaboration within a team.

This opportunity is ideal for candidates who are passionate about advancing their careers in artificial intelligence and cloud computing. Our client values innovation, teamwork, and inclusivity, creating a supportive workplace for all team members.

If you are ready to take the next step in your career and make a meaningful impact, we encourage you to apply for this role. Your expertise could be instrumental in shaping the future of AI solutions.

Join a dynamic team dedicated to pioneering solutions in artificial intelligence. We are seeking an AI Engineer to contribute to our client's Azure and Dynamics 365 Business Central team in Reston, VA. This onsite role is set to begin on November 24, 2025, and offers an exciting opportunity to engage with innovative projects in a collaborative environment.

**Key responsibilities and skills required:**

- Proficiency in Azure services and cloud-based architecture.
- Strong understanding of AI and machine learning concepts.
- Experience working with Dynamics 365 Business Central.
- Problem-solving skills and ability to design scalable AI solutions.
- Excellent communication skills for effective collaboration within a team.

This opportunity is ideal for candidates who are passionate about advancing their careers in artificial intelligence and cloud computing. Our client values innovation, teamwork, and inclusivity, creating a supportive workplace for all team members.

If you are ready to take the next step in your career and make a meaningful impact, we encourage you to apply for this role. Your expertise could be instrumental in shaping the future of AI solutions.

Job Description: Full Stack Engineer

Location: New York City, NY (Onsite)

Job Type: Full-Time

About Us:

My client is a leading financial services company dedicated to providing innovative solutions to our clients. The team is seeking a talented Full Stack Engineer with a strong background in C#/.NET and experience with modern front-end frameworks like Angular or React. This role is pivotal in shaping the technology landscape of the organization.

Key Responsibilities:

* Design, develop, and maintain scalable web applications using C#/.NET for the back end.
* Implement responsive front-end applications with Angular or React.
* Collaborate with cross-functional teams to define, design, and ship new features.
* Ensure the performance, quality, and responsiveness of applications.
* Conduct code reviews and maintain coding standards.
* Integrate with MS Azure services to enhance application features and functionalities.
* Troubleshoot and debug applications to enhance user experience.
* Stay up-to-date with industry trends and emerging technologies.

We are a specialist Data & AI staffing partner representing a boutique Data and AI consulting firm that has been engaged by a Fortune 500 enterprise to deliver a large scale Databricks implementation.

Due to increased delivery demand, our client is seeking a Lead Databricks Architect to take ownership of architecture and technical direction across the program. This consultant will play a key role in shaping the platform, leading delivery teams, and acting as a senior technical authority for both the consulting firm and the end client.

Role Overview

This is a hands on, senior level contract role where you will lead Databricks architecture decisions, guide engineering teams, and work directly with client stakeholders to ensure successful delivery of agreed SOWs and milestones.

Key Responsibilities

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Lead the design and implementation of enterprise grade Databricks Lakehouse architectures
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Act as the senior technical authority across the Databricks platform
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Partner closely with Fortune 500 client stakeholders, architects, and data leaders
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Define architectural standards, patterns, and best practices
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Provide technical leadership and mentorship to Data Engineers and Analytics Engineers
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Ensure scalability, performance, security, and cost optimization are built into the platform
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Support roadmap planning, architectural decision making, and documentation
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Troubleshoot complex platform and data challenges as they arise



Required Experience

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Proven experience leading Databricks implementations at enterprise scale
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Strong hands on Databricks expertise, including Spark, Delta Lake, and Databricks SQL
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Deep understanding of Lakehouse architecture patterns
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Prior experience working with Fortune 500 or large enterprise environments
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Strong cloud background in AWS, Azure, or GCP
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Advanced Python and SQL skills (Scala is a plus)
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Experience working in consulting or professional services environments
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Strong stakeholder management and communication skills



Preferred / Nice to Have

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Databricks certifications (Architect or Professional level)
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Experience with Unity Catalog, data governance, or security frameworks
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Background leading multi team or multi workstream delivery programs

Overview:
We are seeking an experienced SailPoint Developer to design, build, and optimize Identity and Access Management (IAM) solutions within our organization. The ideal candidate will have hands-on expertise with SailPoint IdentityIQ (IIQ) or IdentityNow, strong development skills, and the ability to collaborate with cross-functional teams to improve security, governance, and user lifecycle processes.

Key Responsibilities:

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Design, develop, configure, and maintain SailPoint IdentityIQ/IdentityNow solutions, including workflows, rules, connectors, and integrations.
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Build and maintain lifecycle event workflows such as joiner/mover/leaver processes.
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Develop and customize SailPoint rules using Java, Beanshell, and XML.
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Create and maintain connectors/integrations for applications, directories, and databases.
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Implement role-based access control (RBAC), provisioning, certification campaigns, and policy enforcement.
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Troubleshoot IAM issues including provisioning failures, workflow errors, and connector defects.
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Collaborate with security, compliance, and engineering teams to ensure proper identity governance and audit readiness.
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Support upgrades, patches, and environment migrations.
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Document technical designs, configurations, and processes.
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Participate in code reviews, testing, and continuous improvement initiatives.

Required Qualifications:

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3+ years of experience as a SailPoint Developer or IAM Engineer.
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Strong hands-on work with SailPoint IdentityIQ or IdentityNow, including configuration and custom development.
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Proficiency in Java, Beanshell, XML, and REST/SOAP APIs.
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Experience with directory services (Active Directory, Azure AD), databases (SQL), and cloud environments (AWS, Azure, GCP preferred).
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Knowledge of identity lifecycle management, access governance, RBAC, and compliance frameworks.
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Strong understanding of authentication/authorization standards (SAML, SCIM, OAuth, LDAP).
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Excellent troubleshooting, analytical, and documentation skills.

Preferred Qualifications:

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SailPoint Professional or IdentityNow certifications.
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Experience with CI/CD, Git, Jira, ServiceNow, or similar tooling.
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Background in cybersecurity, IAM architecture, or broader security engineering.
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Experience working in Agile environments.

Soft Skills:

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Strong communication and collaboration abilities.
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Ability to manage multiple priorities and work independently.
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Detail-oriented mindset with a focus on quality and security.

Senior Data Engineer

Join a Microsoft-centric data team modernizing its warehouse architecture and pipelines on Azure. The role focuses on translating business data needs into dimensional models, building reliable extraction and loading routines, and tuning SQL so analytics teams receive trusted, performant datasets.



Successful applicants must be able to demonstrate proven, professional experience across the below areas:

* Designing and maintaining dimensional data warehouses with Kimball methodology: conformed dimensions, fact tables, referential integrity, and slowly changing dimensions.
* Writing and optimizing T-SQL stored procedures, user-defined functions, and advanced queries; analyzing execution plans and applying index strategies on Azure SQL Managed Instance or on-prem SQL Server.
* Developing, scheduling, and monitoring ETL/ELT pipelines in SSIS (Control Flow, Data Flow, checkpoints) and Azure Data Factory (pipelines, triggers, integration runtimes); leveraging Fabric or Synapse for distributed or serverless workloads, and managing load order, dependencies, logging, and error handling.
* Collaborating with analytics teams to refine data models so structures remain extensible, well documented, and performance-oriented; implementing source control and CI/CD for database objects and pipeline assets.



Any experience across the below areas, whilst not essential, would be highly advantageous:

* Data governance and quality frameworks, including cataloging, lineage tracking, and automated testing of stored procedures.
* Monitoring and optimization through Log Analytics or similar, plus awareness of Azure cost-management levers (partitioning, tier selection, pay-as-you-go compute).



This is a permanent position, working onsite at the company headquarters in the Richardson/Plano area of Dallas.