Data Architect

Bluebird Network

$100K — $130K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or master's degree in Computer Science, Information Technology, or related field.
  • 10+ years of hands-on experience in data architecture and governance.
  • Proven experience designing and implementing enterprise-level data architectures (8+ years).
  • Extensive experience with cloud data platforms (AWS, Azure, GCP).
  • Deep expertise in data governance principles and regulatory compliance.
  • Strong knowledge of data structuring for machine learning and AI workloads.
  • Hands-on experience with data classification and cataloging tools (e.g., Collibra, Alation).

Responsibilities

  • Lead data governance, security, and management initiatives.
  • Design and implement the organization's enterprise data architecture.
  • Ensure data is secure, reliable, and accessible for business functions.
  • Define data strategy and enforce data best practices.
  • Collaborate with cross-functional teams to align the data ecosystem with business goals.
  • Influence and build consensus across the organization.
  • Drive the evolution of the data architecture to meet future needs.

Benefits

  • Opportunities for continual learning and professional development.
  • Encouragement of feedback culture within the organization.
  • Access to workshops and seminars to maintain and improve skills.
Full Job Description
Description

POSITION PURPOSE:

We are seeking a highly skilled and strategic Data Architect to lead our data governance, security, and management initiatives. This senior role will be responsible for designing and implementing the organization's enterprise data architecture, ensuring that our data is secure, reliable, and accessible for business-critical functions. The ideal candidate is a proactive leader who can define data strategy, enforce best practices, and collaborate with cross-functional teams to align our data ecosystem with business goals.

Requirements

EDUCATION AND EXPERIENCE:
  • Bachelor's or master's degree in Computer Science, Information Technology, or a related technical field.
  • 10+ years of hands-on experience in data architecture, data modeling, and data governance, with a proven track record of designing and implementing complex data ecosystems. Experience working in regulated industries is a plus.
  • Proven experience (8+ years) designing and implementing enterprise-level data architectures.
  • Extensive experience with data modeling, data warehousing, and modern data platforms (e.g., cloud environments like AWS, Azure, or GCP).
  • Deep expertise in data modeling, data warehousing, database technologies (SQL, NoSQL), big data technologies (e.g., Spark), and modern cloud platforms (e.g., AWS, Azure, GCP).
  • Deep expertise in data governance and security principles, including regulatory compliance frameworks.
  • Strong knowledge of how to structure data for machine learning and AI workloads, including experience with MLOps platforms.
  • Hands-on experience with data classification and data cataloging tools (e.g., Collibra, Alation).
  • Excellent communication, interpersonal, and leadership skills, with the ability to influence and build consensus across the organization.
  • Professional certifications in data architecture, data governance, or cloud platforms preferred.
  • Experience with big data technologies (e.g., Hadoop, Spark) preferred.
  • Familiarity with data integration and ETL/ELT frameworks preferred.


SKILLS AND ABILITIES:
  • Excellent communication, interpersonal, and leadership skills, with the ability to influence and build consensus across the organization.
  • Highly motivated, self-starter with a strong sense of duty
  • Continual learner, willing to attend workshops, seminars, etc. to maintain skills
  • Mature critical thinking, analytical, and problem-solving skills with the ability to troubleshoot and devise a course of corrective action
  • Highly organized and efficient with the ability to multitask, prioritizes tasks appropriately
  • Goes above and beyond to create outstanding product experiences
  • Productive without sacrificing quality, maintainability, accessibility, or performance; perform duties at a high degree of accuracy
  • Encourage giving & receiving feedback, while handling such in a positive and respectful manner


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