Principal Data Architect

Principal Data Architect

JOB-10040033

Anticipated Start Date

December 25, 2023

Location

Houston, TX

Type of Employment

Contract Hire

Employer Info

Our client is one of the nation's leading minority and woman-owned providers of Staffing and Total Talent Solutions. We serve companies in all 50 states and employ thousands of people across the country.

Job Summary

We are looking for individual to join our client’s team as Principal Data Architect. The Principal Data Architect will coordinate the movement, enhancement, integration, quality and availability of data throughout the Enterprise. Working closely with the business and application teams including BI, the Principal Data Architect will analyze and translate business needs into appropriate data deliverables, and design and develop solutions for Master, Reference and Transaction data to create single versions of the truth. The candidate will oversee creation of data models, data flow diagrams, data mappings, and data dictionaries and will maintain all data artifacts. They will develop an understanding of data processes and data dependencies; facilitate the creation of data strategies emphasizing the use of modern technologies and frameworks and own strategic roadmaps and ensure they remain in sync with business strategy goals; assist in the development, execution, and supervision of plans, policies, programs, and practices. The Principal Data Architect will also assist in issue resolution, in operationalizing Data Governance, in assessing, measuring and tracking data quality issues, in creating and maintaining data SOP’s, standards and guidelines, and control processes for audits.

Job Description

• Create conceptual, logical, and physical data models for both relational and dimensional solutions for our EDW
  
• Create data integration processes between CLIENT applications and 3rd party SaaS applications
• Integrate disparate data models into coherent enterprise data models.
• Create data dictionaries and business glossaries to document data lineages, data definitions and metadata for all business-critical data domains.
• Identify and reconcile inconsistencies in data definitions, e.g., synonyms and homonyms.
• Work with business stakeholders to identify critical data (entities and attributes) and capture how data is interpreted by users in various parts of the organization.
• Draft and communicate future data integration strategy and vision.
• Advanced data strategy and architecture through execution of proofs of concept.
• Perform other duties as assigned.

Skills Required

• Ability to work with business as well as IT stakeholders.
• Strong written and oral communication skills with ability to work with users, peers and management.
• Strong interpersonal skills.
• Ability to work independently and as part of a team to successfully execute projects.
• Highly motivated, self-starter with problem solving skills.
• Ability to multitask and meet aggressive deadlines efficiently and effectively.
• Extraordinary attention to detail and accuracy.
• Demonstrate ability to learn and understand business processes quickly.
• Familiarity with modern data management concepts including Cloud-based Datawarehousing, Big Data stack, NoSQL, in-memory DBMS and data caching; graph databases.
• Familiarity and experience in data protection and information security.
• Strong understanding of large scale system, information and technology architectures, including application integration patterns, messaging, service-oriented architecture, information models, and data lineage.
• Hands-on experience with data and process modeling tools (e.g., ERWin,ER Studio, Lucidchart), and working knowledge of programming languages such as: Python, etc.
• Demonstrated ability to work individually and as a part of the team in a collaborative manner.
• Experience with Agile/Scrum is valuable.
• Knowledge of data governance practices, business and technology issues related to management of enterprise information assets and approaches related to data protection
• Experience architecting data products in Snowflake or other cloud data platforms

Education/Training/Certifications

• Bachelor's degree (or foreign equivalent) in Computer Science, Data Science, or a related field.
  
• 5+ years of experience with information modeling, information visualization, data modeling, data management technologies, data integration, data sourcing, data analytics, data warehousing, metadata, semantics and ontologies.
• 3+ years experience developing AWS data pipelines (Glue, Kinesis, etc.)
  
• 5+ years in ELT or data warehouse data loading design and development. Experience with DBT a major plus.

Pay Rate

• $57 per hour and more depending on experience