Lead Data Architect
We are seeking a seasoned Lead Data Architect to spearhead our data engineering initiatives and drive strategic solutions across the organization.
Job Description:
The successful candidate will lead the design and implementation of complex data engineering solutions, define technical standards, and mentor junior team members. Key responsibilities include architecting secure, scalable pipelines for real-time and batch processing, integrating diverse data sources, and establishing CI/CD practices.
Key Responsibilities:
* Design complex data architectures and define technical standards.
* Architect and optimize secure, scalable pipelines (ETL/ELT) for real-time and batch processing.
* Integrate diverse data sources, implement fault-tolerant systems, and establish CI/CD practices.
* Organize large datasets, ensure data quality, and design data lake/warehouse solutions for accessibility.
* Monitor pipeline performance, troubleshoot issues, and implement observability and alerting systems.
Requirements:
* Strong programming skills in Python, Java, or Scala.
* Deep SQL expertise and relational database experience.
* NoSQL and big data technology experience (Hadoop, Spark, Kafka).
* Proficiency in data modeling and schema design.
* Knowledge of data security and compliance requirements in regulated environments.
* Familiarity with biotech enterprise systems (MES, LIMS, QMS).
* Excellent communication skills.
* Knowledge of MCP and orchestration platforms related to AI/GenAI.
* Proficiency in star schemas and data modeling tools.
* Knowledge of industry regulatory requirements (CFR Part 11, GxP, CSA).
* Stream processing experience (Kafka, Flink).
* Cloud certifications.
What We Offer:
A competitive compensation package, opportunities for growth and development, and a collaborative work environment that values innovation and teamwork.