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Data Architect

Dallas, TX, US • Posted 13 hours ago • Updated 13 hours ago

Contract W2

12 Months

No Travel Required

On-site

Depends on Experience

Fitment

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Job Details

Skills

Amazon Redshift
Apache Spark
Artificial Intelligence
Batch Processing
Amazon Web Services
Collaboration
Communication
Analytical Skill
Analytics
Apache Kafka
Data Governance
Continuous Integration
Data Architecture
Data Engineering
Data Processing
Data Quality
Data Security
Data Warehouse
Data Integration
Data Lake
Data Migration
Data Modeling
Cloud Computing
Conflict Resolution
Continuous Delivery
Master Data Management
Meta-data Management
Microsoft
IT Management
Informatica
Machine Learning (ML)
Mentorship
Extract, Transform, Load
Good Clinical Practice
PostgreSQL
Mobile Device Management
Normalization
PL/SQL
Snow Flake Schema
Regulatory Compliance
Relational Databases
Storage
Problem Solving
Python
Real-time
Reporting
SQL
Google Cloud Platform
Microsoft Azure
MySQL
PySpark
Databricks
Streaming
Database
Technical Writing
Dimensional Modeling
Migration
ELT
DevOps

Amazon Redshift
Apache Spark
Artificial Intelligence
Batch Processing
Amazon Web Services
Collaboration
Communication
Analytical Skill
Analytics
Apache Kafka
Data Governance
Continuous Integration
Data Architecture
Data Engineering
Data Processing
Data Quality
Data Security
Data Warehouse
Data Integration
Data Lake
Data Migration
Data Modeling
Cloud Computing
Conflict Resolution
Continuous Delivery
Master Data Management
Meta-data Management
Microsoft
IT Management
Informatica
Machine Learning (ML)
Mentorship
Extract, Transform, Load
Good Clinical Practice
PostgreSQL
Mobile Device Management
Normalization
PL/SQL
Snow Flake Schema
Regulatory Compliance
Relational Databases
Storage
Problem Solving
Python
Real-time
Reporting
SQL
Google Cloud Platform
Microsoft Azure
MySQL
PySpark
Databricks
Streaming
Database
Technical Writing
Dimensional Modeling
Migration
ELT
DevOps

Summary

Data Architect

Job Type: Contract (w2 only)
Experience: 10+ Years

Job Description

We are seeking an experienced Data Architect to design, develop, and implement scalable enterprise data architectures supporting modern analytics, reporting, cloud, and data-driven applications. The ideal candidate will have strong experience with data modeling, cloud data platforms, data integration, governance, and enterprise data architecture.

Key Responsibilities

Design and implement scalable enterprise data architectures across on-premises and cloud environments.
Develop conceptual, logical, and physical data models for enterprise applications and analytics platforms.
Define data architecture standards, patterns, principles, and best practices.
Design modern data warehouses, data lakes, and lakehouse architectures.
Develop and optimize data pipelines and ETL/ELT processes.
Work with cloud data platforms such as AWS, Azure, or Google Cloud Platform.
Design solutions using platforms such as Snowflake, Databricks, Redshift, BigQuery, or Azure Synapse.
Develop data integration strategies using APIs, batch processing, streaming, and event-driven architectures.
Implement data governance, data quality, metadata management, lineage, security, and compliance frameworks.
Design highly available, scalable, secure, and cost-effective data solutions.
Collaborate with Data Engineers, Data Scientists, Business Analysts, Application Architects, Cloud Architects, and DevOps teams.
Analyze existing data environments and develop modernization and migration strategies.
Optimize database performance, query performance, storage, and data processing.
Create architecture diagrams, technical documentation, data models, and design specifications.
Provide technical leadership and mentor data engineering and development teams.

Required Skills

10+ years of experience in data architecture, data engineering, database development, or related roles.
Strong experience with enterprise data architecture and data modeling.
Expertise in SQL and relational databases such as Oracle, SQL Server, PostgreSQL, or MySQL.
Strong knowledge of ETL/ELT and data integration.
Experience designing Data Warehouse, Data Lake, and Lakehouse architectures.
Strong experience with at least one major cloud platform: AWS, Azure, or Google Cloud Platform.
Hands-on experience with modern cloud data platforms such as Snowflake, Databricks, Redshift, BigQuery, or Azure Synapse.
Experience with Python, Spark, or similar data processing technologies.
Strong understanding of data governance, data security, metadata, data quality, and data lineage.
Experience with enterprise-scale data migration and modernization projects.
Strong knowledge of dimensional modeling, star/snowflake schemas, and normalization/denormalization.
Excellent troubleshooting, analytical, communication, and problem-solving skills.

Preferred Qualifications

Experience with Snowflake and Databricks.
Experience with Apache Spark / PySpark.
Experience with real-time/streaming technologies such as Kafka.
Experience with AWS, Azure, and Google Cloud Platform multi-cloud environments.
Experience with Data Governance and Master Data Management (MDM).
Experience with tools such as Collibra, Alation, Informatica, or Microsoft Purview.
Knowledge of Data Mesh and Data Fabric architectures.
Experience with CI/CD, DevOps, and Infrastructure as Code.
Experience with AI/ML data platforms and analytics environments.

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: 10477291
Position Id: 9053534
Posted 13 hours ago

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