Senior Data Engineer
BlackLine
Senior Data Engineer
BlackLine
Cloud-based SaaS for financial close
Make Your Mark:
Senior Data Engineer (Fabric)You'll Get To:
Job Summary**
Blackline Systems, Inc. is seeking a highly skilled and experienced Senior Data Engineer with expertise in Microsoft Fabric to join our growing data team. This role will be instrumental in designing, developing, and maintaining our next-generation data platform, ensuring high performance, scalability, and reliability for critical business intelligence and analytics initiatives.
Job Responsibilities**
* Design, develop, and implement robust and scalable data pipelines using Microsoft Fabric, including Data Factory, Synapse Analytics, and Power BI.
* Lead the architectural design and implementation of data warehousing solutions within the Microsoft Fabric ecosystem.
* Optimize data ingestion, transformation, and storage processes for efficiency and performance.
* Collaborate with data scientists, analysts, and other engineering teams to understand data requirements and translate them into technical solutions.
* Develop and maintain data models, ensuring data quality, consistency, and integrity.
* Implement and enforce data governance policies and best practices within the Fabric environment.
* Troubleshoot and resolve complex data-related issues, ensuring minimal downtime and data loss.
* Mentor junior data engineers and contribute to the overall technical growth of the team.
* Stay up-to-date with the latest advancements in Microsoft Fabric and data engineering technologies.
Job Qualifications**
* Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
* 5+ years of experience in data engineering, with a strong focus on cloud-based data platforms.
* Proven hands-on experience with Microsoft Fabric, including extensive knowledge of Data Factory, Synapse Analytics (SQL Pools, Spark Pools), and Power BI.
* Expertise in SQL and experience with various database technologies (e.g., relational, NoSQL).
* Strong programming skills in Python or Scala.
* Experience with data modeling, ETL/ELT processes, and data warehousing concepts.
* Familiarity with Azure cloud services beyond Fabric (e.g., Azure Data Lake Storage, Azure DevOps).
* Excellent problem-solving, analytical, and communication skills.
* Ability to work independently and as part of a collaborative team in a fast-paced environment.
* Microsoft Azure Data Engineer Associate certification (DP-203) or equivalent is a plus.
What You'll Bring:
Thrive at BlackLine Because You Are Joining:
BlackLine is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, race, ethnicity, age, religious creed, national origin, physical or mental disability, ancestry, color, marital status, sexual orientation, military or veteran status, status as a victim of domestic violence, sexual assault or stalking, medical condition, genetic information, or any other protected class or category recognized by applicable equal employment opportunity or other similar laws.
BlackLine recognizes that the ways we work and the workplace itself has shifted. We innovate in a workplace that optimizes a combination of virtual and in-person interactions to maximize collaboration and nurture our culture. Candidates who live within a reasonable commute to one of our offices will work in the office at least 3 days a week.
Accommodations:
BlackLine is committed to creating an inclusive and accessible experience for all candidates. If you require a reasonable accommodation that would better enable your success during the application or interview process, please complete this form.
BlackLine provides cloud-based financial automation tools for finance and accounting teams to automate and streamline the financial close process. It uses a SaaS platform that customers access via a subscription, with pricing based on users or transaction volumes, plus optional professional services for implementation and optimization. The product helps organizations automate tasks, enforce internal controls, and standardize close activities across multinational enterprises. Its goal is to improve efficiency, accuracy, and compliance in financial operations while generating steady recurring revenue through subscriptions and services.
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