
High-Level Data Architecture Position
1 day ago
Advanced Data Systems Leadership
This is a high-level position for an experienced professional to lead the delivery of advanced data systems. The successful candidate will have a proven track record of deploying mission-critical Tier 1 systems with real-time and batch workloads, and expertise in designing and implementing data architectures for large-scale, distributed systems.
Responsibilities:- Lead the end-to-end delivery of advanced data systems for mission-critical Tier 1 applications.
- Ensure solutions meet NFRs (e.g., scalability, performance, availability, security) and SLAs, delivering on time, within scope, and budget.
- Design and implement data architectures that support scalability, fault tolerance, and high availability for Tier 1 applications.
- Optimize real-time (e.g., Apache Kafka, Flink) and batch processing (e.g., Spark, Hadoop) workloads for high-scale environments.
- Collaborate with infrastructure, platform, AI, and product teams to align on system design, performance, and data architecture goals.
- 7+ years of experience in delivering advanced data systems or similar solutions, with at least 3 years in a leadership or team lead role.
- Proven track record of deploying high-scale, mission-critical Tier 1 systems with real-time and batch workloads.
- Extensive experience in designing and implementing data architectures for large-scale, distributed systems, including data modeling, ETL/ELT pipelines, and storage solutions (e.g., data lakes, data warehouses).
- Hands-on expertise with the ArcOne AI platform or similar AI-driven tools to design, scale, and tune system topologies.
- Proficiency in programming languages such as Python, Java, or Scala.
- Expertise in data processing technologies (e.g., Apache Kafka, Spark, Hadoop, Flink) and cloud platforms (e.g., AWS, Azure, GCP).
- Strong experience with data architecture tools and platforms, including data modeling (e.g., ERD, dimensional modeling), data lakes (e.g., Delta Lake, Iceberg), and data warehouses (e.g., Databricks, Dremio, DuckDB, Trino).
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