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Remote Ntt Data Federal Services Jobs in Riverside, CA

Principal Data Architect

Irvine, CA · Remote

$126K - $214K/yr

Principal Data Architect Full-time Remote Exclusive confidential search -- details shared with ... Demonstrated experience as a Data Architect at a SaaS company in FinTech or financial services ...

Service of Process Clerk

Riverside, CA · On-site +1

$20 - $25/hr

Magna Legal Services is a trusted nationwide partner to law firms, corporations, insurance carriers ... or remote. Our ideal candidate will have strong communication skills, be able to work in a fast ...

Service of Process Clerk

Riverside, CA · On-site +1

$20 - $25/hr

Magna Legal Services is a trusted nationwide partner to law firms, corporations, insurance carriers ... or remote. Our ideal candidate will have strong communication skills, be able to work in a fast ...

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Pay rates are established taking into account the following factors: federal, state, and local ...

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Pay rates are established taking into account the following factors: federal, state, and local ...

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Remote Ntt Data Federal Services information

What are the key skills and qualifications needed to thrive as a remote NTT Data Federal Services employee?

To excel in a remote role at NTT Data Federal Services, you typically need a background in IT, computer science, or a related field, along with relevant federal security clearances. Familiarity with tools such as VPNs, cloud platforms, project management software, and federal compliance systems is often required. Strong communication, self-motivation, and time management skills are essential for effective collaboration and productivity in a remote environment. These qualifications ensure secure, efficient service delivery and seamless teamwork within federal IT projects.

How does collaboration typically work in a remote role at NTT Data Federal Services?

In a remote position at NTT Data Federal Services, collaboration is primarily facilitated through digital communication tools such as Microsoft Teams, email, and project management platforms. Team members participate in regular virtual meetings, both one-on-one and group, to ensure project alignment and foster team cohesion. Despite working from different locations, employees are encouraged to engage actively, share updates, and seek support from colleagues or supervisors as needed. This structure supports both independent work and close team collaboration, typical of distributed federal service projects.

What is the difference between Remote Ntt Data Federal Services vs Remote Ntt Data Analyst?

AspectRemote Ntt Data Federal ServicesRemote Ntt Data Analyst
Required CredentialsBachelor's degree, security clearance often preferredBachelor's degree in related field, analytical skills
Work EnvironmentGovernment contracts, federal agencies, remote or on-siteCorporate or client sites, remote work common
Employer & Industry UsagePrimarily government and federal projectsPrivate sector, consulting, and corporate clients
Common Search & ComparisonYesYes

Remote Ntt Data Federal Services and Remote Ntt Data Analyst roles differ mainly in their work environment and industry focus. Federal Services positions often require security clearances and involve government projects, while Data Analysts work across various industries with a focus on data interpretation and reporting. Both roles may require similar educational backgrounds but serve distinct sectors and job functions.

What are the most commonly searched types of Ntt Data Federal Services jobs in Riverside, CA?

The most popular types of Ntt Data Federal Services jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Remote Ntt Data Federal Services jobs?

Cities near Riverside, CA with the most Remote Ntt Data Federal Services job openings:

Principal Data Architect

NextDeavor Inc.

Irvine, CA • Remote

$126K - $214K/yr

Contractor

Re-posted 17 days ago


Job description

Principal Data Architect
Full-time
Remote
Exclusive confidential search — details shared with qualified applicants.
 
Become a Key Player as a Principal Data Architect

You will design and build the enterprise data architecture that enables analytics, operations, and customer-facing data products for the organization. You will partner with product, engineering, analytics, ML, finance, risk, and customer-facing teams to translate needs into durable data designs. This is a hands-on, remote role where you will both define standards and implement critical models and reference implementations.

Here's How You'll Make an Impact on the Team
  • Define the enterprise data architecture across conceptual, logical, and physical models for analytical and operational platforms.
  • Design and maintain a meta-model capturing entities, relationships, business definitions, ownership, lineage, sensitivity classifications, and SLAs; integrate it with tooling.
  • Architect and drive lakehouse strategy (medallion bronze/silver/gold Delta Lake patterns), including partitioning, clustering, schema evolution, SCDs, and reproducibility.
  • Write PySpark, SQL, and Delta Lake code; build reference implementations, prototype patterns, review pull requests, and personally model critical domains.
  • Set patterns for ingestion via enterprise integration platforms and Databricks pipelines, including CDC, batch, streaming, and API-based sourcing.
  • Partner with governance, security, and compliance to operationalize cataloging, lineage, classification, masking, and access controls (e.g., Unity Catalog, IDMC).
  • Establish and standardize data modeling practices, naming conventions, and review processes; coach engineers on dimensional modeling and Data Vault approaches.
  • Identify tooling and capability gaps, propose investments, and drive multi-quarter initiatives to improve how the organization uses data.
Here's What You'll Need to Be Successful in This Role
  • 12–15+ years of progressive experience in data engineering, data warehousing, and data architecture, with several recent years at the architect level.
  • Demonstrated experience as a Data Architect at a SaaS company in FinTech or financial services software.
  • Deep, hands-on expertise with Databricks and PySpark on Azure, including Delta Lake, Unity Catalog, structured streaming, and performance tuning at scale.
  • Production experience with Informatica Data Management Cloud (IDMC) or comparable enterprise integration platforms.
  • Proven track record designing and shipping meta-models and end-to-end data models (conceptual, logical, physical) to production.
  • Strong command of dimensional modeling (Kimball), Data Vault 2.0, and modern lakehouse patterns; ability to choose the right approach per use case.
  • Expert SQL skills and strong proficiency in Python/PySpark; comfortable writing production code.
  • Experience implementing data governance, lineage, and metadata management programs.
  • Working knowledge of FinTech-relevant regulatory and compliance considerations (e.g., GLBA, SOC 2, PCI, NIST, state lending regulations).
  • Excellent written and verbal communication skills; able to explain complex data concepts to engineers, executives, customers, and auditors.
Here's What Else Might Help You Out
  • Prior experience designing data architectures for multi-tenant SaaS platforms with customer-facing analytics or embedded reporting.
  • Experience supporting loan origination, deposit account opening, or other consumer lending workflows and related data domains (applicants, applications, decisions, funding, servicing, credit data, fraud, KYC/AML).
  • Experience building feature stores or curated data products serving ML/AI workloads and BI consumers.
  • Familiarity with Azure data services (ADLS Gen2, Azure Data Factory, Event Hubs, Synapse, Purview) in conjunction with Databricks.
  • Experience with dbt, Great Expectations, or other modern data quality and transformation tooling on Databricks.
  • Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience.
Pay Range

$126K to 214K/year

Ready to Make Your Mark?

This role may fill quickly. Submit your resume to be considered.

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