Note: The job is a remote job and is open to candidates in USA. The ReWork Group partners with high-growth startups and forward-thinking companies to build the future. The Senior Data Engineer will architect, enhance, and sustain primary data infrastructure by developing dependable pipelines, overseeing cloud-based data warehouses, and ensuring high-availability data access for machine learning and analytics teams.
Responsibilities
- Define and evolve the data engineering technology roadmaps aligned to business strategies, enterprise architecture, information security standards
- Provide architectural leadership on complex, cross-team data initiatives, ensuring solutions are scalable, secure, resilient, and maintainable
- Develop and promote data engineering standards for Lakehouse architecture, ELT/ETL frameworks, data modeling, CI/CD, observability, and governance
- Be responsible for technical direction for large or multi-team delivery efforts , ensuring application of modern data engineering and DevSecOps practices
Skills
- Mastery-level knowledge of the data engineering field and modern data platform technology delivery, with deep experience in one or more key domains such as Lakehouse architecture, distributed data processing, cloud data warehousing, data transformation frameworks, or data governance
- Demonstrated ability to build and complete implementation plans for complex, enterprise-scale data platforms and pipelines
- Proven experience developing and implementing standards, processes, and operational plans that improve stability, resilience, security, and performance of critical data platforms
- Deep expertise with cloud-based data platforms like Azure Data services, Databricks, Snowflake and DBT cloud
- Strong proficiency in programming using data processing tools like Azure Data Factory, Fivetran, Databricks notebook, DBT cloud, ETL/ELT frameworks, as well as programming languages such as Python, SQL, Spark (PySpark/Scala) and scripting languages common to cloud data environments
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