Senior Data Platform Engineer

Wavelynx is seeking an experienced and skilled Senior Data Platform Engineer to play a pivotal role in shaping and maintaining our core data infrastructure. You will be a key contributor, responsible for the reliability, scalability, and evolution of our data lake and orchestration systems. This role requires a strong blend of software engineering principles, deep data expertise, and a proactive approach to building robust, future-proof data solutions that power our analytics, reporting, and operational needs. If you're passionate about owning critical data systems and enabling data-driven decision-making across an organization, we encourage you to apply!

What You'll Do:

• Own and maintain Airflow orchestration infrastructure: Ensure the reliability, efficiency, and scalability of our data workflows through expert management and continuous improvement of our Airflow environment.

• Oversee the architecture and health of the data lake: Design, implement, and maintain the core architecture of our data lake, including robust pub/sub mechanisms for handling credential updates and efficient event-driven ingestion processes.

• Manage critical data integrations: Take ownership of data integrations with key financial systems (e.g., NetSuite), ensuring the accurate and timely delivery of critical reporting datasets to our Finance department and external partners (e.g., Apple).

• Develop and evolve the data lake as a central platform: Continuously enhance and expand our data lake to serve as a versatile and reliable central platform, supporting future analytics initiatives, comprehensive reporting, and seamless cross-team data access.

• Implement best practices for data quality, security, and governance within the data platform.

• Collaborate closely with data analysts, data scientists, and other engineering teams to understand data needs and provide scalable solutions.

• Troubleshoot complex data issues, identify root causes, and implement long-term solutions.

• Stay abreast of industry trends and emerging technologies in data engineering and cloud platforms, evaluating and recommending new tools and approaches.

What You'll Bring:

• Bachelor's degree in Computer Science, Engineering, or a related technical field.

• 5+ years of progressive experience in data engineering, software engineering with a data focus, or data platform roles.

• Expert-level proficiency with Apache Airflow: Demonstrated experience in designing, deploying, managing, and troubleshooting complex Airflow DAGs and infrastructure.

• Strong experience with cloud data platforms (e.g., AWS, GCP, Azure) and their respective data storage and processing services (e.g., S3, ADLS, GCS; Redshift, Snowflake, BigQuery; EMR, Dataproc, Glue).

• Deep understanding and hands-on experience with building and maintaining data lakes, including various ingestion patterns (batch, streaming, event-driven).

• Proficiency in at least one modern programming language (e.g., Python, Scala, Java) with a strong emphasis on writing clean, maintainable, and efficient code.

• Strong SQL skills and experience working with relational and/or analytical databases.

• Experience integrating with third-party APIs and enterprise systems (e.g., ERPs like NetSuite).

• Familiarity with pub/sub messaging systems (e.g., Kafka, Kinesis, Pub/Sub).

• Experience with version control systems (e.g., Git).

• Excellent problem-solving abilities, strong analytical skills, and meticulous attention to detail.

• Ability to work independently, prioritize tasks effectively, and manage multiple projects simultaneously.

• Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Salary:  $130-145k 

Benefits include potential sweet equity for some roles, great rates on company-sponsored medical, dental, and vision with HSA-eligible plans available, generous retirement with up to 6% 401k match, and holidays, vacation, and sick leave.