Lead Data Architect
7 days ago
Are you an experienced data professional looking for a challenging opportunity? We are seeking a Lead Data Architect to join our high-profile client's talented team on a 6-month contract with a strong probability of extension.
Job OverviewThis is a unique opportunity to lead the design and implementation of data pipelines, ETL/ELT workflows, and data architectures using Snowflake and Azure services. As a Lead Data Architect, you will be responsible for optimizing Snowflake performance through query tuning, data partitioning, and leveraging Azure tools for scalable management.
You will also ensure data security, compliance, and governance with encryption, access controls, and auditing in Snowflake and Azure. Collaboration with cross-functional teams is essential to align data solutions with business goals and technical requirements.
Requirements- 15+ years of experience in data engineering and architecture
- Experience as a technical lead of a group of data engineers, mentorship, and driving solutions to meet complex requirements
- Good understanding of modern data platforms including data lakes and data warehouses, with good knowledge of the underlying architecture, preferably in Snowflake
- Proven experience in assembling large, complex sets of data that meets non-functional and functional business requirements
- Experience in identifying, designing, and implementing integration, modeling, and orchestration of complex finance data and process improvements, optimization of data delivery, and automation of manual processes
- Working experience of scripting, data science, and analytics (SQL, Python, PowerShell, JavaScript)
- Working experience of performance tuning and optimization, bottleneck problems analysis, and technical troubleshooting in a sometimes-ambiguous environment
- Working experience of working with cloud-based systems (Azure experience preferred)
- Working knowledge of CI/CD
- Technical expertise to build code that is performant as well as secure
- Technical depth and vision to perform POCs and evaluate different technologies
- Experience with Real-Time Analytics and Real-Time Messaging
- Working knowledge of building data integrity checks as part of delivery of applications
- Experience working with Kafka technologies
- Design, implement, and monitor 'best practices' for Dev framework
The estimated salary range for this position is between $120,000 and $180,000 per annum, depending on experience and location.
About Our ClientOur high-profile client is a leading organization in the industry, known for its commitment to innovation and excellence. They offer a dynamic and supportive work environment, with opportunities for growth and development.
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