onsite
Data Technical Architect - Steampunk
Solutions Architect
Seasoned Data Technical Architect who designs and implements enterprise‑grade data platforms, pipelines, and analytics solutions, leveraging cloud services, big‑data processing, and AI/ML to drive modern data strategies.
About the role
Key Responsibilities
- Lead the design and architecture of scalable, secure data platforms across on‑premise and cloud environments.
- Define data models, pipelines, and integration patterns to support real‑time and batch analytics workloads.
- Collaborate with clients and internal teams to translate business requirements into technical solutions, including AI/ML enablement.
- Guide the selection and implementation of cloud services (e.g., AWS, Azure) and big‑data technologies such as Apache Spark and Kafka.
- Mentor engineering teams on best practices for data engineering, governance, and performance optimization.
Requirements
- 5+ years of experience designing enterprise data architectures and data engineering solutions.
- Strong proficiency in Python, SQL, and big‑data frameworks (e.g., Spark, Hadoop).
- Hands‑on experience with cloud platforms (AWS or Azure) and modern data services (e.g., Redshift, Snowflake, Data Lake).
- Demonstrated ability to implement ETL/ELT pipelines and data modeling for analytics and machine‑learning use cases.
- Excellent communication skills and a track record of delivering client‑focused technical leadership.
Skills
pythonsqlapache sparkawsmachine learning