Senior Data Architect modernizing Alberta justice data marts into an integrated enterprise data warehouse. Designing ETL, Power BI testing, data models, governance, and reporting architecture.
About the role
- Data Engineer developing and maintaining ETL/ELT pipelines at Lime for micromobility data analytics. Collaborating with teams to implement data ops best practices and improve data quality.
Responsibilities
- Design, build, and maintain high-throughput ETL/ELT pipelines for data ingestion, processing, and storage solutions.
- Develop complex, performance-tuned data transformations using Python, high-performance SQL, and tools like dbt.
- Contribute to our technical strategy and how we can scale to support future business needs
- Implement data ops best practices, including CI/CD for data pipelines, version-controlled schemas (dbt), and automated testing.
- Help drive data reliability and observability strategy, including improving data quality and lineage tracking.
- Work with distributed processing systems like Spark, Flink, or Kafka to support scalable batch and real-time operational analytics.
- Partner with the ML Platform team to prepare and provide clean, feature-rich datasets for model training and inference.
- Ensure data stewardship by contributing to documentation, discoverability, and implementing robust data privacy and access controls.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field.
- 2+ years of experience in data engineering and distributed systems.
- Hands-on experience building and scaling data stacks on cloud providers (AWS preferred), including experience with Snowflake.
- Expertise in developing and debugging complex data transformations using Python and high-performance SQL.
- Experience with workflow orchestration tools such as Airflow.
- Familiarity with distributed processing technologies like Spark, Flink, or Kafka.
- Understanding of data modeling, ETL pipelines, and experience with data transformation tools like dbt.
- Familiarity with modern data governance tools and practices (cataloging, lineage, and PII masking).
- Experience with Iceberg, Debezium, or Infrastructure-as-Code tools like Terraform for managing data infrastructure.
Benefits
- Offers Equity
- Offers Bonus
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Senior Data Architect integrating Alberta court data marts into an enterprise data warehouse. Designing ETL, data models, governance practices, and Power BI validation reports.
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