Lead Data Architect
4 days ago
Key Responsibilities
- Design and implement data management solutions, data models, and database architectures
- Develop and maintain a comprehensive data strategy aligned with business goals
- Collaborate with stakeholders to understand data requirements and translate them into technical specifications
- Architect and implement robust application analytics frameworks to track user behavior, performance metrics, and business KPIs
- Establish and enforce standards for scalable data pipelines, ensuring consistency, efficiency, and best practices in collecting, processing, and analyzing large volumes of application data
- Evaluate and adopt technologies and tools to enhance data architecture and performance
- Establish and enforce data governance policies, ensuring compliance with industry regulations and best practices
- Mentor data analysts and data engineers, fostering a culture of excellence and continuous improvement
- Monitor and optimize data performance, scalability, and reliability
- Stay current with emerging technologies and industry trends in data architecture
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
- 8+ years of experience in data architecture, with at least 3 years in a lead role
- Strong knowledge of data modeling, ETL processes, and database design (relational and non-relational)
- Knowledge of data streaming technologies (e.g., Kafka, Flink)
- Expertise in big data technologies (e.g., Hadoop, Spark, Hive)
- Experience with cloud platforms (GCP & AWS) and their data services
- Familiarity with data visualization tools (preferably Power BI)
- Understanding of data privacy regulations (e.g., GDPR)
- Strong problem-solving abilities with a focus on attention to detail
- Strong communication and leadership abilities
- Relevant certifications such as AWS Certified Data Analytics, Google Professional Data Engineer, or equivalent are a plus
Tell employers what skills you have
Scalability
Big Data
Data Modeling
Pipelines
Architect
Hadoop
Data Management
ETL
Data Governance
Attention to Detail
Data Architecture
Database Design
Data Analytics
Power BI
Data Strategy
Data Visualization
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