
Data Platform Architect
2 weeks ago
Karbon is embarking on a data and AI transformation, offering an opportunity to revolutionize its data platform. This position supports both the AI team and the Insights team, critical in delivering features for the Karbon platform.
The successful candidate will be capable of assessing existing architectures and strategically identifying opportunities to improve the data platform.
Main Responsibilities- Developing a unified data platform: Define, map, and model the data and data-flows from multiple systems in line with the target data architecture.
- Creating and managing data pipelines: Enable the ingestion, transformation, and loading (ETL/ELT) of data from various sources into the Azure data ecosystem.
- SUPPORTING THE AI AND INSIGHTS FUNCTIONS: Bring together resources so that the data teams are accessing the same data.
- Data Management: Build quality checks and tests for all newly developed code and data assets, checking for completeness and integrity against established processes.
- Collaboration: Work in a cross-functional team with AI engineers, analysts, and full-stack developers.
- You have 3+ years of relevant work experience in data engineering.
- Experience with Databricks.
- Strong understanding of ETL & ELT data migration patterns.
- Experience developing and maintaining data pipelines (DBT, FiveTran, Stitch, Talend, etc).
- Experience with orchestration tools (Airflow, Dataflow, AWS Glue, etc.).
- Proficiency in a relevant programming language (Python, Javascript, etc.).
- Proficiency in SQL and a deep understanding of relational DBMS.
We value diversity and inclusion, aligning with our business values. We recruit and reward people based on capability and performance.
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