Engineering Manager Data Platform
WFA Digital Insight
The demand for skilled data engineers has grown significantly, with a 25% increase in remote job postings in the last year. As companies like TrueML scale their operations, the need for leaders who can bridge the gap between technical expertise and business acumen is more pressing than ever. With the financial services industry undergoing a digital transformation, professionals with experience in data platform management are in high demand. TrueML's mission to create personalized customer experiences through machine learning sets it apart, and candidates who share this vision will find this role particularly appealing. Before applying, candidates should be aware that this role requires a unique blend of technical skills, leadership experience, and industry knowledge.
Job Description
About the Role
The Engineering Manager for the Data Platform at TrueML will play a crucial role in shaping the company's data infrastructure. As the primary architect of the ecosystem that powers TrueML's intelligence, this individual will lead a team of data engineers in designing and developing data pipelines and systems. The goal is to create a rock-solid, high-performing data foundation that bridges the gap between raw infrastructure and actionable insights. This role is key to TrueML's purposeful scaling phase, and the right candidate will have a significant impact on the company's growth.TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. The company's approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions. The TrueML team includes inspired data scientists, financial services industry experts, and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences.
As a leader in the data engineering team, the Engineering Manager will be responsible for fostering a culture of technical excellence and championing data integrity. This will involve partnering cross-functionally with Data Science and Product managers to translate complex business needs into efficient, well-documented data models.
What You Will Do
- Lead, manage, and mentor a group of data engineers to foster their career development and champion a culture of technical excellence
- Own the design and development of data pipelines and systems to ensure they are prepared for company-wide expansion
- Act as a relentless advocate for data quality by implementing system controls and SLAs necessary for flawless production processes
- Collaborate strategically with cross-functional teams to drive business growth
- Perform high-impact code reviews and provide critical guidance to optimize ETL pipelines and schema performance
- Contribute directly to development work and troubleshooting alongside the team when required
- Drive data accessibility by making data reliable and easily accessible for stakeholders across the company
- Develop and maintain technical roadmaps for the data platform
- Stay up-to-date with industry trends and emerging technologies to continuously improve the data platform
What We Are Looking For
- 2+ years of hands-on management experience and 5+ years of relevant data engineering expertise
- Deep familiarity with modern technologies like Snowflake, Airflow, BigQuery, or Redshift
- Mastery of both RDBMS and NoSQL databases
- Advanced proficiency in Python or Java and expert-level SQL skills
- Experience designing data warehouses and workflow systems, including owning SLAs for critical production processes
- Strong communication skills, with the ability to translate complex technical concepts into clear, actionable updates for business partners
- Experience with data governance and security practices
- Strong problem-solving skills, with the ability to analyze complex issues and develop creative solutions
Nice to Have
- Experience with Spark, Scala, or Protocol Buffers
- Knowledge of the FinTech industry, including regulatory challenges and compliance requirements
- Experience with cloud-based data platforms, such as AWS or GCP
- Certification in data engineering or a related field
Benefits and Perks
- Competitive salary and bonus structure
- Opportunities for professional growth and career development
- Collaborative and dynamic work environment
- Flexible working hours and remote work options
- Access to cutting-edge technologies and tools
- Comprehensive health insurance and benefits package
- Generous PTO and holiday policy
- Remote work stipend and home office setup support
How to Stand Out
- Highlight your experience with data pipeline management and system design in your application.
- Be prepared to discuss your approach to data governance and security in an interview.
- Showcase your ability to communicate complex technical concepts to non-technical stakeholders.
- Emphasize your experience with cloud-based data platforms and modern technologies like Snowflake or BigQuery.
- Prepare examples of your problem-solving skills and ability to analyze complex issues.
- Research TrueML's mission and values, and be prepared to discuss how your own values align with the company's.
- Consider including a personal project or contribution to an open-source data engineering project in your portfolio to stand out.
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