Principal Data Engineer

AWS - Databricks - Python - SQL - Tableau

We are seeking a visionary leader to spearhead our clients data strategy, leveraging insights from their platform to drive company growth. This role is pivotal in scaling the data engineering and analytics capabilities, primarily utilizing cloud-based SaaS systems.

Responsibilities:

Team Leadership and Development:

Develop, mentor, and manage a high-performing team of data engineers and analysts
Foster a culture of innovation and continuous improvement within the team

Data Strategy and Execution:

Collaborate with product and development leaders to define and implement a data-driven strategy
Design, develop, and deploy robust data models and pipelines
Embed data-centric approaches across all product verticals, ensuring data-first solutions

Innovation and Growth:

Develop a comprehensive data roadmap focused on scalability, commercial viability, and cutting-edge innovation
Integrate standard and bespoke analytics solutions within our business intelligence framework

Customer and Internal Insights:

Manage and fulfill customer data requests while ensuring data integrity and security
Provide actionable insights to drive organizational efficiency and improvement

Governance and Compliance:

Maintain high standards for data quality and governance
Ensure adherence to global data protection regulations, translating them into actionable development and management protocols
Advise on data ownership issues to inform commercial contracts

Required Skills and Expertise:

Technical Proficiency:

Extensive engineering background with deep expertise in ETL optimization and big data process tuning
Proficient in modernizing legacy data structures and developing contemporary data assets

Leadership and Risk Management:

Proven experience leading technology teams, with a track record of hiring and retaining top talent
Skilled in assessing risks to balance rapid delivery with high-quality outputs

Product Development:

Demonstrated success in building data products and bringing them to market

Qualifications and Attributes:

Experience in a senior leadership role, managing data engineering and analytics teams
Passionate about enhancing global trade through data-driven solutions
Adaptive leadership style tailored to team and situational needs
Collaborative team player comfortable with strategic discussions at the leadership level
Proficiency with AWS data engineering frameworks (e.g., S3, Redshift, EMR, Kinesis, RDS) or equivalent on other major cloud platforms
Experience with Big Data technologies (e.g., Hadoop, Hive, Hbase, Pig, Spark)

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