Digital Data Engineer (Remote)

At TruStage, we’re on a mission to make a brighter financial future accessible to everyone.  We put people first, and work hand in hand with employees and customers to create a diverse and inclusive environment. Passionate about building insurance, investment and technology solutions, we push the boundaries of what’s possible. We need you to help us shape what’s next. You’ll be encouraged to share your experiences, ideas and skills to help others take control of their financial future.

Join a team that has received numerous awards for being a top place to work: TruStage awards and recognition

As an Lead Digital Data Engineer, you will oversee the architecture, instrumentation and optimization of Enterprise-wide web data collection as well as the integration of these data to our Enterprise data platforms. Manage team projects, ensuring high standards of data quality and compliance. Lead strategic collaboration with cross-functional teams, supporting data-driven decision-making and fostering a data-driven culture. Align data practices with business objectives in partnership with Data Strategy and Governance teams.

As an Lead Digital Data Engineer, you will lead the design and optimization of complex data pipelines and advanced analytical data models. Ensure high standards of data quality and accuracy to support organizational decision-making. Collaborate with cross-functional teams to align technical solutions with business objectives for Data Scientists, Analysts, and partners. Maintain compliance with Data Strategy and Governance standards.

This role requires specialization in the integration and execution of front- and back-end digital data collection aligned to marketing, consumer privacy, fraud prevention and omnichannel data optimization. Deep knowledge of tools such as Google Tag Manager, Google Analytics (GA4), BigQuery, Salesforce integrations (such as CDP), Facebook CAPI, marketing pixels and similar are required.

Job Responsibilities:

Data Pipelines

• Ensure data ingestion processes into data warehousing solutions like Snowflake are accurate, reliable, and consistent.
• Mentor junior engineers in best practices for data pipeline development.
• Develop and integrate novel web-based data collection pipelines as the Enterprise platform(s) evolve.

Data Models

• Lead the creation and maintenance of advanced dimensional data models in data warehousing solutions.
• Integrate multiple complex data sources to provide actionable insights and support analytical queries, processes, Data Science needs, and improve reporting performance.
• Implement advanced data transformations and aggregation techniques.

Data Quality

• Develop comprehensive data quality frameworks and automated validation processes.
• Implement advanced techniques for anomaly detection and correction.
• Ensure consistent high data integrity standards across platforms.

Collaboration

• Lead cross-functional collaboration to gather requirements and translate business objectives into technical solutions.
• Facilitate knowledge sharing on best practices for tools and data.
• Foster effective communication between teams.

Documentation

• Ensure comprehensive documentation of data pipelines, data models, and technical specifications.
• Maintain detailed documentation for complex data processes.
• Support data governance requirements through accurate data lineage and metadata documentation.

Maintenance and Support

• Lead ongoing support for data pipelines, data models, and analytical systems.
• Develop proactive monitoring solutions to identify and resolve data processing issues.
• Ensure system reliability and performance.

Performance Optimization

• Lead optimization efforts for complex data architectures.
• Implement advanced techniques for data management and optimization, including indexing, partitioning, and query optimization.
• Continuously evaluate and improve data processes and architectures.

Data Compliance

• Lead compliance efforts, ensuring adherence to established Data Governance best practices.
• Mentor junior staff on best practices for data compliance.
• Ensure data usage meets regulatory and audit requirements.

Leadership

• Develop leadership skills and manage small to mid-size team projects.
• Mentor junior team members and foster a collaborative environment.

The above statement of duties is not intended to be all inclusive and other duties will be assigned from time to time.

Job Requirements:

• Bache