Data Services Architect

10+ years of experience in data architecture, big data platforms, and distributed computing.
Expertise in Snowflake, Aerospike, ClickHouse, and Data Lake architectures.
Strong hands-on experience with Hadoop ecosystem (HDFS, YARN, Spark, Hive, Presto, etc.).
Proven experience with Kafka and real-time data streaming architectures.
Deep understanding of cloud-based data infrastructure, preferably AWS.
Proficiency in SQL, Python, Scala, or Java for data processing.
Experience with containerization (Docker, Kubernetes) and infrastructure automation (Terraform, Ansible).
Strong analytical and problem-solving skills.
Excellent communication and leadership abilities.
Experience with NoSQL databases (ScyllaDB, Cassandra, MongoDB).

Architect and lead the design, development, and operational management of Data Lake, Snowflake, Aerospike and other data store and processing environments.
Ensure the scalability, performance, and reliability of big data processing frameworks such as Hadoop, Spark, and related technologies.
Develop and manage real-time data streaming solutions using Kafka and other streaming platforms.
Optimize and secure data pipelines for batch and streaming workloads.
Define governance, security, and compliance standards for large-scale data infrastructure.
Collaborate with development, DevOps, product and business teams to align data architecture with business objectives.
Monitor, troubleshoot, and enhance system performance across all data platforms.
Research and recommend emerging technologies in big data, cloud storage, and distributed systems.

No preferred qualifications provided.