E.L.F. BEAUTY · 1 day ago
Data Architect
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Responsibilities
Develop and maintain the overall data architecture strategy and roadmap.
Design data models, database structures, and data integration solutions to support large volumes of data.
Ensure data architecture and products aligns with enterprise standards and best practices.
Evaluate emerging data technologies and tools to improve data architecture.
Oversee data integration processes, including ETL/ELT workflows.
Establish and enforce data governance policies and procedures.
Oversee data quality, data security, and compliance initiatives.
Lead the integration of data from multiple sources into a unified data warehouse.
Optimize data flows and data storage solutions for performance and scalability.
Lead data migration projects to modern platforms or cloud services
Manage metadata repositories and data dictionaries.
Optimize databases and data pipelines for efficiency.
Lead the implementation of new data platforms and technologies.
Establish monitoring systems to track data quality and system performance
Collaborate with vendors and service providers as needed.
Provide guidance and mentorship to data engineers, analysts and other team members.
Foster a culture of innovation, collaboration, and continuous improvement within the team.
Create and maintain detailed documentation for data architectures, processes, and policies.
Qualification
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Required
Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
10+ years of experience in Information Technology
5+ years of experience in data architecture, data engineering, or a related field, with a focus on large-scale, distributed systems
Knowledge of data warehousing, ETL/ELT processes, and data modeling
Deep understanding of data modeling principles, including schema design and dimensional data modeling
Strong SQL development experience including SQL Queries and stored procedures
Ability to architect and develop scalable data solutions, staying ahead of industry trends and integrating best practices in data engineering
Familiarity with data security and governance best practices
Experience with cloud computing platforms such as AWS, Azure, or GCP
Excellent problem-solving abilities with a focus on data analysis and interpretation
Strong communication and collaboration skills
Ability to translate complex technical concepts into actionable business strategies
Proficiency in one or more programming languages such as Python, Java, or Scala
Benefits
Competitive pay and benefits
Bonus eligibility (200% of target over the last four fiscal years)
Equity
Flexible time off
Year-round half-day Fridays
Hybrid 3 day in office, 2 day at home work environment
Company
E.L.F. BEAUTY
E.L.F. Beauty is a cosmetics brand that offers professional makeup and beauty products to customers.
Funding
Current Stage
Public CompanyTotal Funding
$229.12M2023-06-07Post Ipo Equity· $3.94M
2017-03-29Post Ipo Secondary· $225.18M
2016-09-22IPO· undefined
Recent News
2024-11-21
Business Insider
2024-11-20
Global Cosmetics News
2024-06-05
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