Demo

Data Architect

FM Search, LLC
Dallas, TX Full Time
POSTED ON 4/3/2025
AVAILABLE BEFORE 6/3/2025

Job Details

Position Overview

We are seeking an experienced and highly skilled Data Architect to join our IT team. As a Data Architect, you will be responsible for designing, implementing, and maintaining robust data systems and structures that meet the company's strategic needs. You will play a key role in creating efficient data workflows and managing large-scale datasets while ensuring data security, quality, and accessibility across the organization.

Key Responsibilities:

  1. Data Architecture Design: Develop and implement comprehensive data architectures that ensure data is organized, accessible, and optimized for performance across various systems.
  2. Database Management: Design, build, and maintain complex databases, including data warehouses, data lakes, and transactional systems, ensuring consistency, scalability, and security.
  3. Data Modeling: Create logical and physical data models to support the structure and flow of data, aligning with business needs and future expansion plans.
  4. Data Integration: Design and implement data integration strategies for combining data from multiple sources, ensuring seamless data flow between internal systems and external partners or platforms.
  5. Performance Optimization: Monitor and fine-tune database performance, implement best practices for indexing, query optimization, and storage management to enhance system speed and efficiency.
  6. Data Governance: Establish and enforce data governance policies, ensuring compliance with industry standards, privacy regulations (e.g., GDPR, HIPAA), and security protocols.
  7. Collaboration with Stakeholders: Work closely with business analysts, developers, and other IT teams to understand business requirements, data needs, and deliver effective solutions.
  8. Big Data Technologies: Leverage big data tools (e.g., Hadoop, Spark, Kafka) to process and analyze large-scale datasets, ensuring scalable solutions for high-volume data environments.
  9. Cloud Data Solutions: Design and implement cloud-based data architectures, leveraging platforms such as AWS, Google Cloud, or Azure to optimize scalability, cost-effectiveness, and reliability.
  10. Documentation and Reporting: Maintain comprehensive documentation of data architecture, processes, and policies. Provide regular reports on data performance and initiatives to senior management.

Qualifications:

  • Bachelor s or Master s degree in Computer Science, Information Technology, or a related field.
  • Proven experience as a Data Architect or similar role in IT.
  • Expertise in database technologies (SQL, NoSQL, cloud databases, etc.) and data modeling techniques.
  • Strong understanding of ETL processes, data pipelines, and integration tools.
  • Experience with big data frameworks (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure).
  • Knowledge of data governance, security, and compliance standards.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills to collaborate with business and technical 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.

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