June 18, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.
Jersey City, NJ7 days ago
The ideal candidate will have strong experience in Core Java, system design, distributed computing, and performance tuning and a proven ability to deliver scalable features, optimize applications, and support complex financial systems. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.
Jersey City, NJ4 days ago
The ideal candidate will have strong experience in Java, Python, data engineering, cloud-native development, and DevOps and a proven ability to design, deliver, and support enterprise-scale, API-driven applications and data platforms. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.
Jersey City, NJ17 days ago
The ideal candidate will have strong experience in Java, Python, data engineering, MCP-based services, AI-enabled applications, APIs, and DevOps and a proven ability to design, deliver, and support enterprise-scale, API-driven platforms end-to-end. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.
Jersey City, NJ17 days ago
The ideal candidate will have strong experience in Java, Python, API-driven architectures, modern data warehouses, AI/MCP services, and DevOps and a proven ability to design, implement, and support enterprise-scale applications and data platforms end to end. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.
This role will work closely with business stakeholders and technical teams to deliver a scalable and user-friendly SharePoint solution. · Design SharePoint structures including sites, libraries, content types, and permissions.
li>Implementation of business requirements using Snowflake features such as Streams, Tasks, Time Travel, Zero Copy Cloning, and Snowpipe for automated data loads. Build and optimize data models, staging warehouse, and Datamarts using best practices such as micro-partitioning, clustering, and performance tuning.
The Data Architect will deliver ingestion frameworks, data exchange patterns, and governance models that ensure trusted, scalable data across the enterprise. This senior-level role focuses on creating reusable data models, exchange patterns, and quality frameworks.
Jersey City, NJ30+ days ago
p>'',''US-NJ-Jersey City'',''US-NJ-Jersey City'','''','''','''','''','''','''','''','''',''Full-time'',''Full Time'',''Full Time'',''Individual Contributor'',''Experienced'',''Experienced'',''No'',''No'',''27/04/2026, 8:56:00 PM'',''27/04/2026, 8:56:00 PM'','''','''','''','''',''false'',''924464'',''924464'',''true'',''924464'',''false'',''Submission for the position: Data Architect with Data Governance - (Job Number: CREQ255101)'',''false'',''924464'',''false'',''true''. ''924464'',''true'',''924464'',''false'',''Submission for the position: Data Architect with Data Governance - (Job Number: CREQ255101)'',''false'',''924464'',''false'',''true'',''Data Architect with Data Governance'',''CREQ255101'',''!*!
In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. As a senior member of the team, the Data Architect provides technical guidance and mentorship to junior team members and works closely with cross-functional teams to ensure architectural alignment with business goals.
Prior experience in Banking Financial and Insurance combined with strong articulation skills, strategic Thinking exposure, Leadership traits, Strong business acumen, Customer focus, Social are essential. Demonstrated experience across different data platform such as Databricks (Delta Lake, Unity Catalogue), Snowflake and Cortex AI, FiveTran, dbt, Data Virtualization tools.
Its functions are split equally between delivery and internal employee enablement, whereby half of the role is customer-facing and involves serving Salesforce's enterprise Agentforce customers as a technical advisor, and the other half is spent on enabling CSG employees on Agentforce by providing technical expertise; documenting reference architecture; building reusable tools, assets, and patterns; running live enablement sessions; and providing from-the-field feedback (Voice of the Customer) to the Product and Engineering organizations to contribute to product enhancements. Partner with customers and account teams to assess business challenges, identify high-impact Agentforce use cases, define solution scope, develop detailed technical designs, and articulate the business value of proposed solutions to foster successful adoption and identify future opportunities.
strong>The ideal candidate combines deep expertise in cloud-based data architecture with hands-on technical leadership experience in delivering modern ETL pipelines and data engineering solutions within AWS environments.. Technical Leadership- Lead and mentor a team of data engineers and ETL developers in the delivery of cloud-native data solutions.
Basking Ridge, NJ30+ days ago
Job Description , We are seeking a Senior AI/ML Data Architect with strong expertise in Large Language Models (LLMs), AI agents, large?scale data systems, and end?to?end data pipeline creation, specifically within the Telecom domain. This role is responsible for architecting AI?ready data platforms that power intelligent automation, advanced analytics, and agent?based decision systems across OSS/BSS, network operations, and customer engagement.
New York City, New York30+ days ago
Proven experience integrating with credit card processors or servicers (e.g., TSYS, Fiserv, etc.).
• Strong understanding of banking systems and core banking integration patterns.
• 7–10+ years of experience in data architecture, data platform engineering, or large-scale analytics systems.
• Lead the Conceptual Data Model (CDM) development for entities relevant to client's models (Customer, Account, Transaction, Product).
• Conduct data profiling and quality assessments of required model inputs.
•
Implementation of business requirements using Snowflake features such as Streams, Tasks, Time Travel, Zero Copy Cloning, and Snowpipe for automated data loads. Build and optimize data models (staging, warehouse, Datamarts) using best practices such as micro partitioning, clustering, and performance tuning.
p>The ideal candidate combines deep expertise in cloud-based data architecture with hands-on technical leadership experience in delivering modern ETL pipelines and data engineering solutions within AWS environments. Our engineering, consulting and technology experts help clients simplify, optimize and modernize their systems and processes, manage their most critical workloads, integrate AI-powered intelligence into their operations, and put security and trust at the forefront.
li> Lead enterprise data architecture and data warehousing (DW) strategy, designing scalable data models, database structures, and high-performance data engineering solutions. We are hiring a hands-on Senior Data Architect and Delivery Lead who will be responsible for designing, architecting, and successfully implementing and delivering an AWS-based Enterprise Data Platform.
Our teams of experienced, multi-cultural professionals help guide businesses and community members on both sides of the Pacific looking to explore new markets and create new opportunities, and our sustained growth and expertise in industries like real estate, entertainment and media, private equity and venture capital, and high-tech help build sustainable businesses and expand our associates' potential for career advancement. This role is designed for a hands-on enterprise data architect with deep expertise in regulated financial services environments, modern cloud data platforms, enterprise data lifecycle management, and scalable AI/data-driven architectures.
With eleven offices across the United States, 500+ professionals and 350+ business professionals, Manatt, Phelps & Phillips, LLP (www.manatt.com), is a multidisciplinary, integrated national professional services firm known for quality and an extraordinary commitment to clients. In order to determine whether Form I-9 documentation is valid, this employer uses E-Verify's photo screening tool to match the photograph appearing on some permanent resident and employment authorization cards with the official U.S. Citizenship and Immigration Services' (USCIS) photograph.
Parsippany, NJ30+ days ago
li>IDE DevOps AWS Cloud Yes 1. Life- Sciences Data Models Yes 1. Life- Sciences VEEVA Yes 1. Why Should You Apply?
p>The Cloud Data Architect is a senior member of the BI & Analytics team and will be responsible for architecting, designing, and governing enterprise-scale cloud data platforms, including cloud data lakes and cloud data warehouses, to support reporting, analytics, and advanced data use cases. - Lead and provide day-to-day technical direction, task prioritization and architectural guidance to a small team of data engineers, including internal shared-services resources and vendor partners, to deliver enterprise cloud data platforms and analytics solutions.
Additionally, you will help improve communication across engineering, business stakeholders, and end-users to accelerate the development and deployment of high-quality data products. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
strong>You will focus on building a robust SQL-based data warehouse, improving data models for business intelligence, and leveraging Microsoft Fabric to create efficient, reliable data pipelines. The ideal candidate has experience working with Consumer Packaged Goods (CPG) data and understands the nuances of sales, distribution, retail, and customer analytics.
In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts.
Parsippany, NJ30 days ago
This role evaluates and selects technology products, designs scalable integration patterns, reviews technical artifacts, and provides hands-on architectural governance to ensure high-quality delivery of data models and business intelligence applications supporting sales planning, forecasting, bids, and tenders. Sales Planning, Forecasting, Bid Management & Tender Management: Provide architectural guidance for sales planning/forecasting solutions, bid and tender management capabilities, KPI frameworks, and semantic models to enable consistent performance reporting and decision support and evaluate the COTS products against Teva business requirements.
Provide senior architectural leadership for Commvault's cloud data platforms, including Snowflake, Databricks, and Azure data services (e.g., Azure Data Lake, Azure SQL, Synapse). Define architectural patterns to enable secure, governed access to enterprise data for AI systems, including support for retrieval-augmented generation (RAG), semantic layers, and API-based data access abstractions.
li>Architect and implement AI‑powered solutions using Snowflake Cortex including Cortex LLM functions, Cortex Search for semantic/vector/RAG capabilities, Cortex Analyst for conversational analytics, Document AI, and integration with external LLMs (e.g., for fine‑tuning, agents, and multimodal data processing). - Lead end‑to‑end data architecture and solution design for Snowflake‑based data platforms including logical/physical data models, ingestion patterns (batch, streaming, Snowpipe), storage layers (raw, curated, consumption/semantic), and consumption patterns for analytics, BI, and AI/ML.
Develop reusable patterns for AWS (Glue, EMR, Redshift, IAM, S3), Azure/Fabric (Container Services, Functions, Data Factory, Lakehouse, Warehouse). · Define integration patterns for Purview, Ataccama, Fabric OneLake catalog, and AWS Glue Catalog.
New York City, NY30+ days ago
Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world's most successful revenue teams.
p>Expertise in data modeling with Snowflake, including schema design, performance optimization, and leveraging Snowflakes unique capabilities (e.g., time travel, zero-copy cloning). Cross-Functional Collaboration: Work closely with business analysts, data scientists, and software engineers to integrate data solutions into broader business applications.
You'll work closely with engineering teams and business stakeholders to evaluate existing systems, define future-state architecture, and lead data transformation efforts across complex environments. In this role, you will provide technical leadership and architectural guidance across enterprise data initiatives, helping design scalable and modern data solutions that support analytics, reporting, and business decision-making.
The role will focus on developing robust ETL/ELT pipelines, enabling high-performance data processing, and supporting end-to-end architecture across development, UAT, and production environments. The ideal candidate will work closely with client stakeholders and engineering teams to deliver scalable, secure, and cost-efficient data platforms.
Amazon Web Services EC2, Elastic MapReduce) and considerations for scalable, distributed systems
Advanced working SQL knowledge and experience working with relational databases.
Experience designing, building, and optimizing data pipelines, architecture, and data sets.
Strong project management and organization skills.
Experience supporting and working with agile cross functional teams in a dynamic environment
Background in financial services functions strongly desirable.
. Participates in the design conversations; conveys ideas within train and to groups outside of train.
Competencies – Knowledge, Skills, Abilities
Candidate with experience in a Data Architect role who has attained a degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
p>Data Architecture Leadership: Establish robust data governance, data management, enterprise data models across domains, data integration patterns, data quality, data privacy ensuring data consistency, accuracy, and integrity across all systems and departments. As Montefiore has built paths to deliver lifesaving health outcomes to underserved communities, we are looking to the future of being a data driven organization and tech-enabled care delivery to create better experiences for patients, providers, and operations teams.