Sr. Data Architect - Data Engineering 3
About The Position
The Sr. Data Architect ensures data solutions meet business needs, align with technology strategies, and comply with data governance and security standards. The role develops and maintains data architecture blueprints, data flows, and data models; collaborates with stakeholders to understand requirements and design solutions; and establishes standards and best practices for data quality and consistency. It also evaluates technologies for data management and analytics, leads data integration and migration projects, advises data management teams, ensures privacy and security compliance, optimizes data infrastructure performance, and stays current with industry developments. This is a hybrid, day-shift position in the United States. The approximate annual base compensation range is USD 100,000–125,000. Los Angeles, California-based candidates are not eligible. 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.
- Required skills 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, Computer Vision, Consumer Electronics, Consumer Packaged Goods (CPG), Databricks Platform, Data Engineering, Design Thinking, Electronic Hardware, Entertainment Journalism, Executive Presence, Healthcare Payors, Inclusion, and Industrial Manufacturing Processes.
Nice To Haves
- Certifications listed: BUILD- IT/GOOGLE CLOUD; Certified Data Management Professional (Riversand); Cloudera Certified Developer for Apache Hadoop (CCDH); IBM Certified Solution Developer - WebSphere IIS DataStage Enterprise Edition v7.5; Informatica Certified Designer.
Responsibilities
- Develop and maintain data architecture blueprints, data flows, and data models.
- Collaborate with stakeholders to understand data requirements and design data solutions.
- Define data standards and best practices to ensure data quality and consistency.
- Evaluate and recommend technologies and tools for data management and analytics initiatives.
- Lead data integration projects and oversee data migration efforts.
- Provide guidance to data management teams on data architecture principles and practices.
- Ensure compliance with data privacy regulations and security policies.
- Conduct performance tuning and optimization of data infrastructure.
- Stay current with industry trends and advancements in data architecture and analytics.
Benefits
- Hands-on experience, mentorship, and learning opportunities are offered; specific employee benefits are not listed.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
