Data Platform Architect

6 hours ago

Pleasanton, California, United States BlackLine Full time
Job Title: Principal Data Engineer

Job Summary:

We are seeking a highly skilled Principal Data Engineer to join our Data & BI Engineering team at BlackLine. As a key member of our team, you will be responsible for designing, developing, and maintaining our Enterprise Data Platform to enable data-driven decision-making across the organization.

Key Responsibilities:

  • Provide technical leadership in technology direction, road-mapping, architecture definition, design, development, and delivery of enterprise-class solutions.
  • Architect, design, develop, test, troubleshoot, debug, optimize, scale, perform capacity planning, deploy, maintain, and improve software applications.
  • Work collaboratively across the company to design, communicate, and further assist with adoption of best practices in architecture and implementation.
  • Deliver robust architectural solutions for complex design problems.
  • Implement, refine, and enforce data engineering best practices to ensure that delivered features meet performance, security, and maintainability expectations.
  • Research, test, benchmark, and evaluate new tools and technologies, and recommend ways to implement them in the data platform.
  • Actively participate in research, development, support, management, and other company initiatives designing solutions to optimally address current and future business requirements and infrastructure plans.
  • Inspire a forward-thinking team of developers, acting as an agent of change and evangelist for a quality-first culture within the organization.
  • 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 by working with peers and leadership to build consensus and act.

Requirements:

  • Bachelor's or master's degree in computer science, Data Science, or a related field.
  • 10+ years as a data engineer designing and architecting complex systems.
  • 10+ years of experience using RDBMS, SQL, Python, or other programming languages.
  • 5+ years working experience with SQL and familiarity with Snowflake data warehouse, strong working knowledge in stored procedures, CTEs, and UDFs, RBAC.
  • Deep understanding of Data warehouse concepts, star, snowflake and dimensional modeling and ETL/ELT best practices, scalability, complex process management, self-healing approaches, etc.
  • Strong working knowledge in at-least one of the big data architectures such as Lambda, Kappa and Hub and Spoke Architectures.
  • 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 at least one modern Data pipeline, Replication and processing tools such as Qlik, Fivetran, airflow, Astronomer etc
  • 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.
  • Experience in working in a startup-type environment, good team player, and can work independently with minimal supervision.
  • Proficient in managing large volumes of data.
  • Strong analytical and interpersonal skills, comfortable presenting complex ideas in simple terms.
  • Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
  • Experience in providing technical support and troubleshooting for data-related issues.
  • Expertise with at least one cloud environment and building cloud native data services.
  • Prior experience driving data governance, quality, security initiatives.

Nice to Have:

  • 5+ years of building data intensive applications in Java
  • Experience with nosql systems such as mongodb, cockroachDb, apache cassandra etc.
  • Significant experience with open-source platforms and technologies.
  • Experience with data science and machine learning tools and technologies is a plus.

What We Offer:

At BlackLine, we offer a dynamic and collaborative work environment, competitive compensation and benefits package, and opportunities for professional growth and development.

How to Apply:

If you are a motivated and experienced data engineer looking for a new challenge, please submit your resume and cover letter to [insert contact information].

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