Principal Data Engineer

4 weeks ago

Reston, Virginia, United States BlackLine Full time
Principal Data Engineer

As a key member of the Data & BI Engineering team at BlackLine, you will play a crucial role in advancing our Enterprise Data Platform to enable data-driven decision-making across the organization. Your expertise in designing and architecting complex systems will be instrumental in driving innovation and delivering high-quality solutions to our customers.

Responsibilities:
  • Provide technical leadership and expertise in technology direction, road-mapping, architecture definition, design, development, and delivery of enterprise-class solutions.
  • Architect, design, develop, test, troubleshoot, debug, optimize, scale, and deploy software applications to drive the delivery of high-quality value and features to BlackLine's customers.
  • Collaborate with cross-functional teams to design, communicate, and implement best practices in architecture and implementation.
  • Research, test, benchmark, and evaluate new technologies, tools, and platforms to identify opportunities for innovation and improvement.
  • Act as a conduit for questions and information flow, facilitating consensus building and eliciting value-add contributions from team members.
  • Maintain a strong sense of business value and return on investment in planning, design, and communication.
  • Proactively identify issues, bottlenecks, gaps, or other areas of concern or opportunity and work to either directly affect change or advocate for that change.
Requirements:
  • Bachelor's or master's degree in computer science, data science, or a related field.
  • 10+ years of experience as a data engineer designing and architecting complex systems.
  • Strong working knowledge of RDBMS, SQL, Python, and other programming languages.
  • Experience with data warehouse concepts, star, snowflake, and dimensional modeling, and ETL/ELT best practices.
  • Excellent proficiency in stream-processing systems like Storm, Spark-Streaming, Kafka Streaming, and building real-time data pipelines.
  • Proficiency in container technologies: Docker, and Kubernetes.
  • Experience with modern data pipeline, replication, and processing tools such as Qlik, Fivetran, Airflow, and Astronomer.
  • Understanding of data security and privacy regulations, with experience implementing data security best practices.
  • Ability to define and manage user roles and permissions in Snowflake to ensure data security and privacy.
What We Offer:
  • A technology-based company with a sense of adventure and a vision for the future.
  • A culture that is kind, open, and accepting, where people can embrace what makes them unique.
  • A culture where BlackLiner's continued growth and learning is empowered, with a wide variety of professional development seminars and inclusive affinity groups.

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 2 days a week.

Salary Range: USD $201,000.00 - USD $269,000.00

Pay Transparency Statement: Placement within this range depends upon several factors, including the applicant's prior relevant job experience, skill set, and geographic location. In addition to base pay, BlackLine also offers short-term and long-term incentive programs, based on eligibility, along with a robust offering of benefit and wellness plans.

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