Principal Data Architect
BrightClaim•New York, NY
•$165,300 - $235,000•Hybrid
About The Position
The Big Data Principal Data Architect designs and implements high-performing, scalable big data solutions. The role leads data architecture strategy and development, supports data integrity, and optimizes data management processes and performance. The position is hybrid and is listed as a regular day job in the United States. Los Angeles, California-based candidates are not eligible. The approximate annual base compensation range is $165,300 to $235,000. The actual offer depends on factors including experience, knowledge, skills, abilities, geographic location, and internal equity.
Requirements
- Bachelor’s degree in Business Analytics, Computer Science, or Statistics, or a master’s degree in Data Science.
- English proficiency at C2 level.
- Skills listed include Accounts Payable Process, Accounts Receivable (AR), Aerospace Manufacturing, Agile Methodology, Automotive Manufacturing, Banking Capital Markets, Change Management, Claims Management, Client Relations, Cloud Computing, Collaboration Tools, Commercial Excellence, Commercial Modeling, Computer Vision, Consumer Electronics, Consumer Packaged Goods (CPG), Databricks Platform, Data Engineering, Design Thinking, Electronic Hardware, Entertainment Journalism, Executive Presence, and Healthcare Payors.
Nice To Haves
- Certified Data Management Professional – Riversand.
- Databricks Certified Associate Developer for Apache Spark 3.0 – Databricks Academy.
- Databricks Certified Associate Developer for Apache Spark – Databricks Academy.
- Microsoft Certified: Azure Data Engineer Associate – Microsoft.
- Oracle Database 12c Certified Implementation Specialist – Oracle.
Responsibilities
- Develop and implement data architecture strategies that support business goals.
- Lead the design and implementation of big data solutions and data pipelines.
- Collaborate with cross-functional teams to gather requirements and design data models.
- Ensure data quality and integrity through data governance and data management best practices.
- Optimize data storage, processing, and retrieval performance for large-scale data sets.
- Evaluate and recommend emerging technologies and tools for big data processing and analytics.
- Provide technical guidance and mentorship to data engineering teams.
- Stay current with industry trends and best practices in big data technologies and architectures.
Benefits
- Hands-on experience, mentorship, and learning opportunities are described as career-development offerings.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
