Staff Data Engineer

Introduction

As a Staff Data Engineer, you will be a technical leader and subject matter expert, driving innovation and excellence within our data engineering team. You will play a pivotal role in shaping our data strategy and architecture, ensuring the development of robust, scalable, and high-performing data pipelines and platforms. You will be responsible for leading complex data initiatives, mentoring other engineers, and fostering a culture of continuous improvement and knowledge-sharing. You will collaborate closely with cross-functional teams to leverage data to its full potential, unlocking valuable insights and driving informed decision-making.

Job Responsibilities

'•    Design and build end-to-end data pipelines, incorporating best practices to address a wide range of business requirements.
•    Take ownership of major projects, providing technical guidance and direction to ensure successful delivery.
•    Continuously evaluate and enhance the data infrastructure to ensure optimal performance, reliability, and scalability to meet the evolving needs of the business.
•    Share knowledge and expertise with other data engineers, fostering professional growth and development within the team. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
•    Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python, Snowflake and AWS.
•    Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
•    Partner with data scientists, analysts, product managers, and other stakeholders to understand their data needs and deliver solutions that empower them to achieve their goals.

Knowledge and Experience

'•    8+ years of experience as a Data Engineer or in a similar role, with a proven track record of technical leadership and accomplishment.
•    Deep expertise in data modelling, data warehousing, ETL, and data pipeline design and development.
•    Mastery of SQL, Python, and other relevant programming languages.
•    Extensive experience with building, testing, and deploying dbt models.
•    Expert-level proficiency in AWS Big Data Technologies (S3, MWAA, ECR, ECS) and Snowflake.
•    Experience with Terraform, Docker, and Kubernetes.
•    Strong understanding of Engineering and Operational Excellence methodologies.
•    Deep knowledge of CI/CD concepts and implementation.
•    Exceptional problem-solving skills and ability to navigate complex technical challenges.
•    Excellent written and verbal communication skills and ability to succinctly summarize key findings.

Additional Considerations
•    Thought Leadership: Expected to contribute to the broader data community within Optimizely.
•    Mentorship and Coaching: Demonstrated ability to mentor and guide other engineers, fostering a culture of learning and development.
Cross-functional Collaboration: Proven ability to effectively collaborate with diverse teams and stakeholders across the organization.

Education

Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent

Competencies