Chief Data Analytics Solutions Architect
1 month ago
Job Title: Chief Data Analytics Solutions Architect
About the Role:
Sirius Partners is seeking a highly skilled and experienced Chief Data Analytics Solutions Architect to lead our data engineering team in developing and implementing cutting-edge data analytics solutions. As a key member of our Information Technology Division, you will play a crucial role in enhancing our enterprise data platform.
Key Responsibilities:
• Lead cross-functional teams in delivering data engineering projects, ensuring high availability, performance, and scalability.
• Design and implement secure and scalable data analytics solutions for data ingestion, processing, visualization, and storage.
• Collaborate with stakeholders to prioritize requirements, focusing on business benefits and data risk mitigation.
• Promote compliant and quality reuse of data on the enterprise platform, leveraging incremental delivery of functionalities throughout the data lifecycle.
• Apply native cloud skills, such as containerization and object storage, to enable effective data analytics, management, and governance.
• Manage development pipelines using DevSecOps, CI/CD tooling, and Infrastructure as Code.
• Effectively utilize hybrid project management techniques, applying agile tools within SDLC phases.
• Coordinate with other IT functions to optimize technical synergies and efficiency across initiatives.
• Manage third-party data products and vendors for deployment onto the data platform.
Requirements:
• Bachelor's degree in computer science, technology, or related disciplines.
• 5+ years of experience in systems development, preferably in large enterprises. The AVP position requires stronger technology and management expertise.
• Well-versed in SDLC project disciplines and experienced in Agile methodologies in cross-functional teams.
• Good understanding of enterprise data architecture and technology stack, covering batch processing and streaming data for analytics usage.
• Familiarity with cloud technology and operations in AWS, Azure, or China clouds and data processing in a cloud environment.
• Solid technical background with hands-on experience in software development and data-related technologies.
• Proficiency in programming languages such as Python, Java, C++, or Scala.
• Hands-on experience with big data technologies and ecosystems, including Hadoop, Spark, and Kafka.
• Knowledge of database systems, both relational and NoSQL.
• Familiarity with big data technologies, e.g., Redshift, HDFS, HBase, Hive, etc.
• Experience in data security and data management tools, e.g., LDAP, OAuth, Keycloak, Lake Formation, etc.
• Experienced in DevSecOps tooling, CI/CD pipeline, Terraform, etc.
• Excellent problem-solving skills and the ability to work in a fast-paced environment.
• Excellent influencing skills with good command of written and spoken English.
Salary Range: $120,000 - $180,000 per annum
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