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Data Architect - 3658619

Lighthouse Technology Services

Orlando, Florida • Today

Full-time

USD 160,000.00 - 180,000.00 per year

Job Details

Skills

Management
Government Contracts
IT Strategy
Data Architecture
IaaS
Collaboration
Master Data Management
Mobile Device Management
Development Testing
Auditing
Code Refactoring
Software Development
IT Management
Mentorship
Design Patterns
Enterprise Integration
Scalability
Systems Design
Articulate
Communication
SQL
NoSQL
Database
Data Storage
Cloud Computing
Data Modeling
Extract
Transform
Load
ELT
Data Integration
Data Lake
Data Warehouse
Microsoft Power BI
Microsoft
Databricks
Snow Flake Schema
Cosmos-Db
Real-time
Streaming
Apache Kafka
Artificial Intelligence
Advanced Analytics
Machine Learning (ML)
Data Governance
Meta-data Management
Data Quality
Analytics
Microsoft Azure
C#
.NET

Management
Government Contracts
IT Strategy
Data Architecture
IaaS
Collaboration
Master Data Management
Mobile Device Management
Development Testing
Auditing
Code Refactoring
Software Development
IT Management
Mentorship
Design Patterns
Enterprise Integration
Scalability
Systems Design
Articulate
Communication
SQL
NoSQL
Database
Data Storage
Cloud Computing
Data Modeling
Extract
Transform
Load
ELT
Data Integration
Data Lake
Data Warehouse
Microsoft Power BI
Microsoft
Databricks
Snow Flake Schema
Cosmos-Db
Real-time
Streaming
Apache Kafka
Artificial Intelligence
Advanced Analytics
Machine Learning (ML)
Data Governance
Meta-data Management
Data Quality
Analytics
Microsoft Azure
C#
.NET

Summary

Lighthouse Technology Services is partnering with our client to fill their Data Architect position! This is a direct hire opportunity and can be remote with travel to Orlando, Florida. Eligibility for this role requires U.S. citizenship due to federal government contract requirements. No C2C or subcontracting arrangements will be considered.

What You'll Be Doing:

Design and maintain the enterprise data architecture, ensuring alignment with business objectives, operational needs, and overall IT strategy.
Develop conceptual, logical, and physical data models to support enterprise applications, analytics platforms, and the organization's data warehouse or lakehouse environments.
Architect and guide the implementation of scalable data pipelines, integration frameworks, data warehouses, and data lakehouse solutions.
Establish and promote data architecture standards, best practices, and governance frameworks across the organization.
Evaluate and recommend modern data technologies, cloud platforms, and data tools to improve the performance, scalability, and reliability of the data ecosystem.
Partner with application, cloud, infrastructure, and engineering teams to ensure cohesive system and data design across platforms.
Collaborate with data governance and security teams to define standards for metadata management, lineage tracking, master data management (MDM), and data quality.
Ensure enterprise data assets are accurate, consistent, secure, and accessible by implementing strong governance and data quality practices.
Work closely with business leaders, analysts, and engineering teams to translate business requirements into scalable technical data solutions.
Provide architectural oversight during development, testing, and deployment, ensuring solutions align with the approved architecture.
Optimize database and platform performance, scalability, and cost efficiency across cloud and on-prem environments.
Conduct architecture reviews, audits, and refactoring initiatives to continuously improve the health and maturity of the organization's data ecosystem.

What You'll Need to Have:

Strong hands on Programming skills as this role will be architecture and development.
A strong Development Background: 5+ years of hands-on software development experience with progression into architecture or technical leadership roles
Data Integration Expertise: Deep understanding of data integration patterns, methodologies, and best practices for enterprise-scale data movement and transformation
Streaming & Event-Driven Architecture: Strong experience with streaming platforms (Kafka preferred) and queue-based integration patterns, with ability to evaluate tradeoffs between synchronous vs. asynchronous approaches
Data Lake Architecture: Proven experience designing and implementing data pipelines that ingest data from diverse enterprise systems and third-party sources into modern data lake architectures
Technical Leadership: Demonstrated ability to coach and mentor development teams on integration best practices, design patterns, and architectural decisions
Enterprise Integration: Experience integrating with multiple enterprise systems, APIs, and data sources, understanding security, scalability, and reliability requirements
Architecture Mindset: Ability to think strategically about system design, evaluate technical options, articulate tradeoffs, and guide teams toward optimal solutions
Communication Skills: Strong ability to translate complex technical concepts for both technical and non-technical stakeholders
Strong expertise in SQL and NoSQL database technologies and modern data storage architectures.
Hands-on experience designing solutions on cloud data platforms, preferably within the Azure ecosystem.
Deep understanding of data modeling methodologies and experience using data modeling and diagramming tools.
Experience designing and implementing ETL/ELT pipelines and data integration frameworks.
Strong knowledge of data lake and data warehouse architectures, including modern lakehouse patterns.
Familiarity with modern data and analytics platforms such as Power BI, Microsoft Fabric, Databricks, Snowflake, Synapse, BigQuery, or Cosmos DB.
Experience working with real-time data streaming technologies such as Kafka or Azure Event Hubs.
Understanding of AI/ML data pipelines and feature store architectures that support advanced analytics and machine learning workloads.
Solid knowledge of data governance, metadata management, lineage tracking, and data quality frameworks.
Experience collaborating with cross-functional teams across engineering, analytics, and business functions.

Preferred Certifications / Technical Background:

Azure Data Engineer or Azure Data Architect
C# .Net Development background

Salary Range: $160,000 - $180,000 / annually

Questions about any of our jobs? Email us at

View all of our open jobs here: jobs.lhtservices.com

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: 10114206
Position Id: 101c072af75114e04a4178267d78949f
Posted 1 day ago

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Job Details

Skills

Management
Government Contracts
IT Strategy
Data Architecture
IaaS
Collaboration
Master Data Management
Mobile Device Management
Development Testing
Auditing
Code Refactoring
Software Development
IT Management
Mentorship
Design Patterns
Enterprise Integration
Scalability
Systems Design
Articulate
Communication
SQL
NoSQL
Database
Data Storage
Cloud Computing
Data Modeling
Extract
Transform
Load
ELT
Data Integration
Data Lake
Data Warehouse
Microsoft Power BI
Microsoft
Databricks
Snow Flake Schema
Cosmos-Db
Real-time
Streaming
Apache Kafka
Artificial Intelligence
Advanced Analytics
Machine Learning (ML)
Data Governance
Meta-data Management
Data Quality
Analytics
Microsoft Azure
C#
.NET

Management
Government Contracts
IT Strategy
Data Architecture
IaaS
Collaboration
Master Data Management
Mobile Device Management
Development Testing
Auditing
Code Refactoring
Software Development
IT Management
Mentorship
Design Patterns
Enterprise Integration
Scalability
Systems Design
Articulate
Communication
SQL
NoSQL
Database
Data Storage
Cloud Computing
Data Modeling
Extract
Transform
Load
ELT
Data Integration
Data Lake
Data Warehouse
Microsoft Power BI
Microsoft
Databricks
Snow Flake Schema
Cosmos-Db
Real-time
Streaming
Apache Kafka
Artificial Intelligence
Advanced Analytics
Machine Learning (ML)
Data Governance
Meta-data Management
Data Quality
Analytics
Microsoft Azure
C#
.NET

Summary

Design and maintain the enterprise data architecture, ensuring alignment with business objectives, operational needs, and overall IT strategy.
Develop conceptual, logical, and physical data models to support enterprise applications, analytics platforms, and the organization's data warehouse or lakehouse environments.
Architect and guide the implementation of scalable data pipelines, integration frameworks, data warehouses, and data lakehouse solutions.
Establish and promote data architecture standards, best practices, and governance frameworks across the organization.
Evaluate and recommend modern data technologies, cloud platforms, and data tools to improve the performance, scalability, and reliability of the data ecosystem.
Partner with application, cloud, infrastructure, and engineering teams to ensure cohesive system and data design across platforms.
Collaborate with data governance and security teams to define standards for metadata management, lineage tracking, master data management (MDM), and data quality.
Ensure enterprise data assets are accurate, consistent, secure, and accessible by implementing strong governance and data quality practices.
Work closely with business leaders, analysts, and engineering teams to translate business requirements into scalable technical data solutions.
Provide architectural oversight during development, testing, and deployment, ensuring solutions align with the approved architecture.
Optimize database and platform performance, scalability, and cost efficiency across cloud and on-prem environments.
Conduct architecture reviews, audits, and refactoring initiatives to continuously improve the health and maturity of the organization's data ecosystem.

What You'll Need to Have:

Strong hands on Programming skills as this role will be architecture and development.
A strong Development Background: 5+ years of hands-on software development experience with progression into architecture or technical leadership roles
Data Integration Expertise: Deep understanding of data integration patterns, methodologies, and best practices for enterprise-scale data movement and transformation
Streaming & Event-Driven Architecture: Strong experience with streaming platforms (Kafka preferred) and queue-based integration patterns, with ability to evaluate tradeoffs between synchronous vs. asynchronous approaches
Data Lake Architecture: Proven experience designing and implementing data pipelines that ingest data from diverse enterprise systems and third-party sources into modern data lake architectures
Technical Leadership: Demonstrated ability to coach and mentor development teams on integration best practices, design patterns, and architectural decisions
Enterprise Integration: Experience integrating with multiple enterprise systems, APIs, and data sources, understanding security, scalability, and reliability requirements
Architecture Mindset: Ability to think strategically about system design, evaluate technical options, articulate tradeoffs, and guide teams toward optimal solutions
Communication Skills: Strong ability to translate complex technical concepts for both technical and non-technical stakeholders
Strong expertise in SQL and NoSQL database technologies and modern data storage architectures.
Hands-on experience designing solutions on cloud data platforms, preferably within the Azure ecosystem.
Deep understanding of data modeling methodologies and experience using data modeling and diagramming tools.
Experience designing and implementing ETL/ELT pipelines and data integration frameworks.
Strong knowledge of data lake and data warehouse architectures, including modern lakehouse patterns.
Familiarity with modern data and analytics platforms such as Power BI, Microsoft Fabric, Databricks, Snowflake, Synapse, BigQuery, or Cosmos DB.
Experience working with real-time data streaming technologies such as Kafka or Azure Event Hubs.
Understanding of AI/ML data pipelines and feature store architectures that support advanced analytics and machine learning workloads.
Solid knowledge of data governance, metadata management, lineage tracking, and data quality frameworks.
Experience collaborating with cross-functional teams across engineering, analytics, and business functions.

Preferred Certifications / Technical Background:

Azure Data Engineer or Azure Data Architect
C# .Net Development background

Salary Range: $160,000 - $180,000 / annually

Questions about any of our jobs? Email us at

View all of our open jobs here: jobs.lhtservices.com

Dice Id: 10114206
Position Id: 101c072af75114e04a4178267d78949f
Posted 1 day ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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