Solutions Architect – Data Analytics

Jobtailor

Newport News (VA)

On-site

USD 140,000 - 190,000

Full time

3 days ago

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Job summary

Jobtailor is seeking an Enterprise Data Architect to define and drive the Databricks Lakehouse data strategy for a complex, multi-platform environment in the United States. You will lead architecture across tools and products, guiding implementation from design to production while mentoring engineers and ensuring security and compliance.

The role emphasizes cloud-native data solutions, BI/analytics, and cost optimization, with strong cross-functional collaboration and continuous improvement

Qualifications

4+ years of experience in enterprise IT operations, systems engineering, or infrastructure architecture.
Experience designing enterprise-scale solutions spanning multiple applications, data sources, and technology platforms.
Deep expertise in Infrastructure-as-Code tools such as Terraform, Ansible, CloudFormation, Puppet, and Chef.
Experience crafting and managing CI/CD pipelines using Jenkins, GitHub Actions, Azure DevOps, or similar platforms.
Strong experience designing cloud-based data solutions, preferably within Microsoft Azure.
Experience with Azure Data Factory, Azure Storage/ADLS, Azure networking, identity and access management, Key Vault, and related services.
Experience designing and implementing an enterprise data platform using Databricks or a comparable modern cloud data platform.
Experience designing data architectures supporting enterprise BI and analytics, preferably including Microsoft Fabric and Power BI.
Understanding of on-premises infrastructure including Windows and Linux operating systems, networking, and security infrastructure.
Knowledge of DevOps and agile methodologies.
Experience with identity and access management automation, including AD integration and role-based access control provisioning.
Proficiency in cost management and optimization strategies for cloud-based capacity workloads.
Relevant certifications such as Azure Solutions Architect Expert or similar is a plus.
Bachelor's degree in Computer Science, Information Technology, or a related field; equivalent experience may be considered
Strong analytical and problem-solving skills
Good communication and collaboration skills, including influencing technical and non-technical collaborators and mentoring junior engineers
Innovative mentality and willingness to challenge legacy processes
High adaptability and continuous learning mentality

Responsibilities

Define and guide the technical implementation of the organization's enterprise data strategy centered on the Databricks Lakehouse Platform
Design scalable, secure, and high-performing data solutions enabling analytics, AI, machine learning, and operational reporting
Provide strategic direction and leadership in enterprise-wide solution architecture
Execute architecture design and improvements from design through product or feature completion
Guide solution and system architecture across multiple products or systems
Translate requirements into effective solution architecture and design
Participate in cross-architecture reviews and ensure integration requirements
Create and maintain comprehensive architecture documentation and standards
Provide technical leadership and mentorship to engineers
Conduct architecture reviews and ensure automation designs meet security, compliance, and performance requirements
Collaborate with multifunctional business customers to translate requirements into automated, scalable technical solutions
Monitor environment health, identify failure patterns, and drive continuous improvement across the data ecosystem
Track emerging data technologies, tools, and industry trends and recommend innovative solutions

Skills

Enterprise IT Ops

Systems engineering

Infrastructure architecture

Cloud data solutions

Data architecture design

IAM

Cost management

Automation design

Agile methodologies

Communication

Education

Bachelor's degree in Computer Science / IT or related field

Tools

Terraform

Ansible

Jenkins

Azure DevOps

Azure Data Factory

Azure Storage/ADLS

Power BI

GitHub Actions

CloudFormation

Puppet

Job description

Define and guide the technical implementation of the organization's enterprise data strategy centered on the Databricks Lakehouse Platform
Design scalable, secure, and high-performing data solutions enabling analytics, AI, machine learning, and operational reporting
Provide strategic direction and leadership in enterprise-wide solution architecture
Execute architecture design and improvements from design through product or feature completion
Guide solution and system architecture across multiple products or systems
Translate requirements into effective solution architecture and design
Participate in cross-architecture reviews and ensure integration requirements
Create and maintain comprehensive architecture documentation and standards
Provide technical leadership and mentorship to engineers
Conduct architecture reviews and ensure automation designs meet security, compliance, and performance requirements
Collaborate with multifunctional business customers to translate requirements into automated, scalable technical solutions
Monitor environment health, identify failure patterns, and drive continuous improvement across the data ecosystem
Track emerging data technologies, tools, and industry trends and recommend innovative solutions

Requirements

4+ years of experience in enterprise IT operations, systems engineering, or infrastructure architecture
Experience designing enterprise-scale solutions spanning multiple applications, data sources, and technology platforms
Deep expertise in Infrastructure-as-Code tools such as Terraform, Ansible, CloudFormation, Puppet, and Chef
Experience crafting and managing CI/CD pipelines using Jenkins, GitHub Actions, Azure DevOps, or similar platforms
Strong experience designing cloud-based data solutions, preferably within Microsoft Azure
Experience with Azure Data Factory, Azure Storage/ADLS, Azure networking, identity and access management, Key Vault, and related services
Experience designing and implementing an enterprise data platform using Databricks or a comparable modern cloud data platform
Experience designing data architectures supporting enterprise BI and analytics, preferably including Microsoft Fabric and Power BI
Understanding of on-premises infrastructure including Windows and Linux operating systems, networking, and security infrastructure
Knowledge of DevOps and agile methodologies
Experience with identity and access management automation, including AD integration and role-based access control provisioning
Proficiency in cost management and optimization strategies for cloud-based capacity workloads
Relevant certifications such as Azure Solutions Architect Expert or similar is a plus
Bachelor's degree in Computer Science, Information Technology, or a related field; equivalent experience may be considered
Strong analytical and problem-solving skills
Good communication and collaboration skills, including influencing technical and non-technical collaborators and mentoring junior engineers
Innovative mentality and willingness to challenge legacy processes
High adaptability and continuous learning mentality

Core Competencies

Demonstrates expertise in designing and implementing enterprise-scale data solutions using the Databricks Lakehouse Platform and Microsoft Azure, with a strong focus on architecture, automation, and compliance. Capable of providing technical leadership and mentorship while driving continuous improvement across the data ecosystem.

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