Data Operations Architect

Via Logic LLC; United States; Remote; USD 148,000 - 270,000; Full time

Job summary

An established industry player is seeking a skilled Data Operations Architect to lead the design and management of data systems and pipelines. This remote role emphasizes the importance of data integrity and compliance, requiring collaboration with various stakeholders to meet business data needs. The ideal candidate will have extensive experience in data architecture, a strong command of database technologies, and proficiency in programming languages like SQL and Python. Join a forward-thinking company where your expertise will drive impactful data solutions and support innovative analytics initiatives.

Qualifications

• 15+ years of experience in Data Architecture and Engineering.
• Strong understanding of database technologies and data warehousing.

Responsibilities

• Design and implement data pipelines for efficient data flow.
• Collaborate with stakeholders to understand data needs and requirements.

Skills

Data Architecture

Data Engineering

Data Pipeline Design

SQL

Python

ETL Processes

Analytical Skills

Communication Skills

Education

Master’s degree in Computer Science

Doctorate in related field

Tools

Snowflake Cloud Data Platform

Job description

Are you ready to make an impact?

Leidos Office of the Chief Information Officer, within the Digital Modernization sector, is seeking a skilled and experienced Data Operations Architect to design, implement, and manage data systems and pipelines. This role focuses on ensuring efficient and secure data flow, storage, and access, leveraging the CIO cloud data platform to meet specific business needs for data and analytics.

Location: This position offers the opportunity to work 100% remotely from any U.S. based location.

What will you do in this role?

• Architect and design data pipelines for efficient data ingestion, transformation, and loading into various systems.

• Establish architecture for enforcing data policies, standards, and procedures to ensure data integrity and compliance.

• Architect and design validation solution to to ensure data accuracy and reliability.

• Collaboration:

• Working with business stakeholders, data analysts, data scientists, and other IT teams to understand data needs and requirements and architect system components to efficiently meet these requirements

• Perform Technology Assessments - Evaluate and recommend appropriate data technologies and tools to support business goals.

• Monitor data systems and pipelines to identify and address performance issues.

Basic Qualifications

• Master’s degree in Computer Science, Information Technology, or related field with 15- 20 years of relevant experience or Doctorate and 13-15 years.

• 15 years of experience in Data Architecture and Engineering disciplines

• Experience designing data pipelines for Operational data flows

• Experience performing Technology Assessments and Analysis of Alternatives

• Strong understanding of database technologies (e.g., relational, NoSQL), data warehousing, ETL processes, and data pipeline tools.

• Experience in data modeling using techniques like ER diagrams, conceptual modeling, and logical modeling.

• Proficiency in programming languages like SQL, Python, or other languages used for data manipulation and transformation

• Excellent analytical and problem-solving skills.

• Strong communication and collaboration abilities.

• U.S. Citizenship or Permanent Residency is required.

Preferred Qualifications

• Experience working with structured, semi-structured and unstructured data

• Data Science and AI training

• Experience with Snowflake Cloud Data Platform

Original Posting: May 8, 2025

For 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.

Pay Range: Pay Range $148,850.00 - $269,075.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.