Senior Cloud Data Architect

Leidos

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$107,900–$195,050 / yr
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $180k
This role $151k
$94k $239k
below market most similar roles pay here above market

This role pays less than 69% of similar roles. Most pay $145,425–$214,975 — the blue band above. At the midpoint, this role pays about $151k versus about $180k for comparable roles.

Based on 240 similar postings.

Employer

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations.

Leidos currently has 426 open roles on FindRole.

Listed pay typically runs $92,300–$166,850 across 344 roles with salary data.

Most-posted roles

View all roles at Leidos

At a glance

TL;DR · Senior Cloud Data Architect

The Senior Cloud Data Architect joins a team of subject matter experts and developers to design and implement data architectures supporting end-to-end data processing needs. This role involves translating business concepts into cloud-based architectures for high-performance data, geospatial visualization, and advanced analytics. Key responsibilities include defining conceptual, logical, and physical data models, establishing data standards, and overseeing data ingest, integration, storage, and query architectures. You will build solutions for data migration and refactoring using Microsoft SQL Server, Azure data lake, Azure SQL, Azure Analytics Services, and Azure Synapse. Required technical skills include SQL, Python, Spark, and .NET, alongside experience with NoSQL, medallion architecture, and data governance. You will ensure architectural decisions align with the enterprise roadmap to support long-term modernization objectives.

What you'll do

  • Translate business requirements into long-term cloud-based data architectures for high-performance analytics and geospatial visualization.
  • Define conceptual, logical, and physical data models for relational, data lake, delta lake, and NoSQL data stores.
  • Design and implement data solutions using Microsoft Azure services including Azure Synapse, Azure SQL, and Azure Data Lake.
  • Develop processes and tools for data migration, conversion, and refactoring of existing data models.
  • Establish and maintain data modeling standards, data governance best practices, and enterprise data catalogs.
  • Optimize SQL-based metrics and Gold-layer structures for query performance, scalability, and maintainability.
  • Align architectural designs and technology choices with the enterprise data and analytics roadmap.

What we're looking for

  • Must have a BS in Computer Science or related field with 8+ years of experience, or a Masters with 6+ years of experience.
  • Must have 5+ years of experience designing conceptual, logical, and physical data models.
  • Must have 4+ years of experience in cloud data architecture, including integration, data storage, and query architectures.
  • Must have 4+ years of experience developing and implementing data models for Microsoft SQL Server, star models, data marts, and SSAS OLAP cubes.
  • Must have experience developing and implementing models for data lake, Azure SQL, and NoSQL databases.
  • Must have very strong SQL query language skills with experience optimizing data query performance.
  • Must have knowledge of programming languages like Python, Spark, and .NET based development.
  • Must be a U.S. citizen who has resided in the U.S. for at least 3 years and is able to obtain a Public Trust clearance.
  • Must have experience with data governance, including metadata management, enterprise data catalog, and data security.
  • Must have experience with Agile process methodology, CI/CD automation, and cloud-based development (Azure, AWS).
  • Experience developing Master Data Management solutions (preferred).
  • Scaled Agile Framework (SAFe) (preferred).
  • Experience working with Azure DevOps (preferred).
  • Azure Enterprise Data Analyst certification (preferred).

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