Data Architect

Overview

Hybrid
$60 - $70
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Amazon RDS
Amazon Web Services
Analytics
Cloud Computing
Collaboration
Communication
Conflict Resolution
Data Architecture
Database Design
Data Governance
Extract
Transform
Load
Data Integration
Data Modeling
Performance Tuning
Problem Solving
Design Patterns
Mentorship
ELT
Optimization
Oracle Cloud
PL/SQL
Database
Data Quality
Specification Gathering
Query Optimization
Remote Desktop Services
Reporting
Scalability
SQL Azure

Job Details

Experience : 15+ years

Job Overview

We are seeking an experienced Data Architect PL/SQL to design, develop, and optimize enterprise data architecture solutions. The ideal candidate will have strong expertise in PL/SQL, database design, and performance tuning, with the ability to translate business requirements into scalable data solutions.

Key Responsibilities

  • Design, develop, and optimize enterprise data architecture solutions using PL/SQL.

  • Create and maintain complex database objects (procedures, functions, packages, triggers).

  • Develop and optimize data models to support analytics, reporting, and transactional systems.

  • Collaborate with stakeholders to gather requirements and deliver technical solutions.

  • Ensure database performance, scalability, and reliability through proactive tuning and optimization.

  • Support ETL processes and data integration activities across multiple systems.

  • Document data architectures, design patterns, and technical specifications.

  • Provide guidance and mentorship to development teams on database and data architecture best practices.

Must-Have Skills

  • Strong expertise in PL/SQL programming for data architecture and development.

  • Proven experience in designing and implementing enterprise data architectures.

  • Proficiency in relational database design and data modeling (conceptual, logical, physical).

  • Hands-on experience with performance tuning and query optimization.

  • Ability to analyze business requirements and translate them into scalable solutions.

  • Strong problem-solving and troubleshooting skills.

Good-to-Have Skills

  • Knowledge of ETL/ELT processes and integration with large-scale data platforms.

  • Experience with cloud databases (Oracle Cloud, AWS RDS, Azure SQL, etc.).

  • Familiarity with data governance and data quality frameworks.

  • Strong communication and collaboration skills across technical and business teams.

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.