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Principal Data Architect

Remote
Data Architect
Lumen Technologies
Actively hiring

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About Lumen

Lumen connects the world. We are igniting business growth by connecting people, data and applications – quickly, securely, and effortlessly. Together, we are building a culture and company from the people up – committed to teamwork, trust and transparency. People power progress.

We’re looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future.

The Role

The Principal Data Architect for Lumen’s Network as a Service implementation is responsible for developing strategic goals and tactical solutions for network data architecture. This role involves collaborating with network users, architects, engineers, and other stakeholders to create a comprehensive vision and standards for data management. Key responsibilities include creating methods to track data quality, addressing data integration issues, and developing policies for data governance, security, and compliance.

Additionally, the Principal Data Architect is tasked with implementing tools and systems to support network data technology goals and ensuring that solutions adhere to data standards. This includes managing data sources, movement, interfaces, and analytics to guarantee data quality, as well as documenting the network data architecture to maintain a current and accurate view of the data landscape.

Location

This role is designated as a fully remote position within the United States.

The Main Responsibilities

  • Select and implement the appropriate tools, software, applications, and systems to support network data technology goals.
  • Oversee the mapping of network data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality.
  • Work with project leads, consultants, and business unit leaders for all projects involving network data and analytics.
  • Create and maintain network data model and metadata policies and procedures for functional design.
  • Ensures solution designs address the network data standards and principles both from a functional and technical requirement perspective.
  • Address data-related problems in regard to systems integration, compatibility, and multiple-platform integration.
  • Breaks down complex projects into simple systems that can be effectively built and maintained by less experienced engineers and architects.
  • Develop and implement key components as needed to create testing criteria in order to guarantee the fidelity and performance of network data architecture.
  • Document the project and programs for network data architecture and environment in order to maintain a current and accurate view of the larger network data picture, an environment that supports a single version of the truth and is scalable to support future analytical needs.
  • Identify and develop opportunities for network data reuse, migration, or retirement and platform upgrades.
  • Defines the standards to use for network data modeling and management of network data models ensures that network data models produced adhere to these standards.
  • Ensures that all documented artifacts and templates are captured in the appropriate document repository.
  • Partners directly with IT development teams and technical architects in the physical implementation of the logical network data models
  • Partners directly with data governance group, technical architects, and IT leads in the selection of metadata tools.

What We Look For in a Candidate

Required Qualifications:

  • Bachelor’s degree in computer science, engineering, or related field with 15+ years of relevant experience or
  • Master’s degree in computer science, engineering, or related field with 12+ years of relevant experience.
  • Experience building data models and performing complex queries
  • Experience performance tuning large datasets
  • Experience building large data pipelines and/or web services
  • Experience in building integration with upstream and downstream systems with REST APIs
  • Experience in twinning and caching technologies and implementations

Preferred Qualifications:

  • Excellent problem solving, critical thinking, and communication skills
  • Experience with network specific data and data sets is preferred

Compensation

This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.

Location Based Pay Ranges:

$149,084 - $198,779 in these states: AL, AR, AZ, FL, GA, IA, ID, IN, KS, KY, LA, ME, MO, MS, MT, ND, NE, NM, OH, OK, PA, SC, SD, TN, UT, VT, WI, WV, and WY.
$156,539 - $208,718 in these states: CO, HI, MI, MN, NC, NH, NV, OR, and RI.
$163,993 - $218,657 in these states: AK, CA, CT, DC, DE, IL, MA, MD, NJ, NY, TX, VA, and WA.

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