AWS Data Solutions Architect

Richmond, VA, US • Posted 17 hours ago • Updated 17 hours ago

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Job Details

Skills

Amazon Web Services
Analytics
Apache Hadoop
Apache Kafka
Apache Spark
Archiving
Big Data
Business Intelligence
Change Management

Summary

We are looking for AWS Data Solutions Architect for our client in Richmond, VA

Job Title: AWS Data Solutions Architect

Job Location: Richmond, VA

Job Type: Contract

Job Description:

The AWS Data Solutions Architect is responsible for designing and governing enterprise-wide data architectures that support analytics, business intelligence, and data science initiatives.
This role translates business and strategic requirements into scalable, secure, and high-performing cloud-based data solutions, while establishing data standards, governance, and best practices across the organization.

Responsibilities:

Design comprehensive enterprise data architectures supporting analytics, reporting, and data science use cases.
Create detailed technical specifications for data storage, processing, integration, and retrieval systems.
Develop enterprise-wide data models, schemas, metadata strategies, and integration patterns.
Collaborate with business and technical stakeholders to translate requirements into technical solutions.
Evaluate and recommend data warehousing, ETL/ELT, analytics, and cloud platform technologies.
Lead proof-of-concept initiatives to validate architectural approaches and emerging technologies.
Define and enforce data architecture standards, policies, and procedures.
Implement and maintain data governance frameworks ensuring compliance with security and regulatory requirements.
Design and oversee enterprise data modeling, database design, and optimization strategies.
Facilitate data acquisition, access analysis, archiving, recovery, and change management at the enterprise level.
Translate strategic requirements into enterprise information architectures, including enterprise data models, metadata, taxonomies, and vocabularies.
Develop metadata management and repository strategies for enterprise data assets
Ensure enterprise data assets are identified, stewarded, reused, and governed appropriately.
Provide technical leadership and mentorship to junior team members and development teams.
Create and maintain documentation for data architecture components, standards, and processes.
Stay current with emerging technologies, regulatory requirements, and industry best practices.

Experience:

7+ years of experience in data architecture, data engineering, or related roles.
Proven experience designing and implementing enterprise-scale data solutions.
Hands-on experience with cloud-based data platforms, specifically AWS.

Skills:

Expert knowledge of data modeling techniques including dimensional, relational, and NoSQL.
Strong experience with data integration patterns and ETL/ELT methodologies.
Working knowledge of big data technologies such as Hadoop, Spark, Kafka.
Experience with data mesh architecture.
Familiarity with business intelligence and analytics tools.
Strong understanding of data governance, security, and compliance principles.

Should Have:

Experience with real-time or streaming data architectures.
Knowledge of machine learning workflows and MLOps.
Experience with DataOps and CI/CD for data pipelines.
Certifications in cloud platforms or data technologies.
Experience with data fabric architectures.

Qualification And Education:

Bachelor s degree in Computer Science, Information Systems, or a related field.
Master s degree preferred.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10516350
Position Id: VA_ADST_0122
Posted 17 hours ago

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AWS Data Solutions Architect

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