Lead Data Systems Engineer

$200,000 - $300,000/Yr

Unreal Gigs - San Francisco, CA

Full-time - Senior

Remote - San Francisco, CA

About the position

As the Lead Data Systems Engineer, you will play a pivotal role in leading our data systems engineering initiatives and driving the design, implementation, and optimization of our data systems infrastructure. You will lead a team of skilled engineers, collaborating closely with cross-functional teams to deliver high-quality, scalable, and reliable data systems solutions that meet the evolving needs of our data-driven organization.

Responsibilities

• Provide strategic guidance, mentorship, and technical leadership to a team of data systems engineers.
• Lead the design and implementation of scalable and reliable data systems architecture.
• Architect and implement data storage solutions, including relational databases, NoSQL databases, data warehouses, and data lakes.
• Lead the implementation and optimization of data processing frameworks and technologies, such as Apache Hadoop, Apache Spark, and Apache Flink.
• Lead the development and maintenance of data pipeline solutions to ingest, transform, and deliver data from various sources to target systems.
• Lead efforts to integrate data from diverse sources and systems into data systems infrastructure.
• Establish and enforce data governance policies and procedures to ensure data quality, security, and compliance with regulatory requirements.
• Lead efforts to optimize data systems performance through indexing, partitioning, and other techniques.
• Implement robust monitoring and alerting systems to track data systems performance and health.
• Define and promote best practices for data systems engineering, ensuring clear and comprehensive documentation.
• Collaborate closely with cross-functional teams, including data engineers, data scientists, and business analysts.
• Mentor and coach junior engineers, providing guidance, support, and opportunities for skill development.

Requirements

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
• 8+ years of experience in data engineering or systems engineering, with a focus on data systems technologies.
• Proven leadership experience, with a track record of successfully leading data systems engineering teams and delivering complex projects.
• Expertise in data storage technologies such as relational databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), data warehouses (e.g., Snowflake, Redshift), and data lakes (e.g., Amazon S3, Azure Data Lake Storage).
• Strong programming skills in languages such as Python, Java, or Scala, with experience in data processing frameworks like Apache Spark or Apache Flink.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and services like AWS Glue, Azure Data Factory, or Google Dataflow.
• Strong understanding of data integration concepts and techniques, with experience integrating data from diverse sources and systems in data systems infrastructure.
• Strong problem-solving skills and analytical thinking, with the ability to design and troubleshoot complex data systems issues.
• Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.

Benefits

• Competitive salary ranging from $200,000 to $300,000 per year, depending on experience and qualifications.
• Comprehensive benefits package, including health insurance, retirement plans, and wellness programs.
• Flexible work arrangements, including remote work options and flexible hours.
• Generous vacation and paid time off.
• Professional development opportunities, including access to training programs, conferences, and workshops.
• State-of-the-art technology environment with access to cutting-edge tools and resources.
• Vibrant and inclusive company culture with opportunities for growth and advancement.
• Exciting projects with real-world impact at the forefront of data-driven innovation.