Enterprise Data Solutions Architect
4 days ago
We are a global consulting firm that specializes in delivering innovative Commercial Analytics and Technology solutions for our clients.
We combine design thinking with cutting-edge technology to create game-changing solutions.
Our team of 220+ professionals across 6 offices is passionate about innovation and growth.
We're looking for an individual who can help us achieve our goals by designing and implementing complex enterprise data processing and BI reporting solutions.
Key Requirements
- 8-12 years of experience in a data engineering role with an engineering degree.
- Expertise in writing SQL and database objects, including stored procedures, functions, and views.
- Hands-on experience in ETL/ELT, data security, SQL performance optimization, and job orchestration tools.
- Knowledge of data warehouses, including Redshift, Snowflake, Databricks, and Cloudera.
- Proficient in Python scripting, PySpark, and Spark.
Responsibilities
- Design and implement robust and scalable data pipelines using DBt and Airflow.
- Ensure strict data compliance, security, and cost optimization.
- Re-architect data solutions for scalability, reliability, and resilience.
- Manage data schemas and flow to ensure compliance, integrity, and security.
- Deliver end-to-end data solutions across multiple infrastructures and applications.
- Actively monitor and triage technical challenges in critical situations.
- Develop relationships with external stakeholders to maintain awareness of data and security issues.
- Review work from other tech team members and provide feedback for growth.
- Mentor and develop your team members.
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