TrueAccord is looking for an Engineering Manager, Data Platform who will lead a team of data engineers to architect, develop, and maintain data pipelines using the latest technologies.
Ideally, you have a proven track record in managing a group of world-class data engineers with demonstrated growth in their career development. You possess hands-on skills in designing and developing scalable solutions for data pipelines, including data infrastructure and data services. You also have experience working in a product-driven organization in collaboration with product managers, and going through product development cycles.
We’re looking for a strong self-starter who is confident in contributing to a developing data ecosystem and dedicated to building a strong data foundation integral to the success of TrueAccord’s mission. You should be passionate about data and determined to have a huge impact at TrueAccord.
Key Responsibilities:
- Lead, manage, and mentor a team of data engineers
- Collaborate cross-functionally to deliver projects required for improving the data infrastructure, data services, and tools that are used in our data pipelines
- Drive data quality across our data pipelines, and implement system controls for managing data quality
- Perform code reviews and provide critical suggestions for fixes and improvementsDefine and manage SLA’s for all data platform processes running in production
- Partner with data science and product managers to understand and identify data needs, translating business requirements into efficient and well documented data models to empower data-driven development
- Lead efforts to scale our data infrastructure as we enter the hyper growth phase
- Be an aggressive champion for data accessibility and integrity
- Contribute to any and all data engineering development work as needed
You Have:
- BS/MS in Computer Science, Engineering, or related degrees
- 2+ years of hands-on management experience
- 5+ years of relevant experience with data engineering
- Expertise in skills related to designing and developing data pipelines, ETL, data warehousing, and workflow systems.
- Experience managing big data technologies like Snowflake, Google BigQuery, AWS Redshift, Apache Airflow, etc.
- Experience with databases like RDBMS, NoSQL, and SQL.
- Experience developing people through coaching, mentoring, and feedback
- Experience building cross-functional relationships and working with other teams to deliver projects
- Experience growing the technical expertise of a team through the use of state-of-the-art tools, technology, and processes
- Advanced proficiency with Python, Java, or other programming language
- Advanced SQL skills and very strong experience in scaling and optimizing schemas, performance tuning ETL pipelines
- Experience in owning and defining SLAs for maintaining production processes
- Robust written and verbal communication, able to effectively communicate with both technical and business partners
- Desire to work in San Francisco.
You might also have:
- Experience with Spark
- Experience with functional Scala
- Knowledge of protocol buffers
- FinTech background
- Unlimited PTO
- Medical benefit contributions in congruence with local laws and type of employment agreement