Job responsibilities
- Leads multiple technology and process implementations across data engineering to achieve firm wide technology objectives
- Directly manages multiple areas with strategic transactional focus
- Provides leadership and high-level direction to teams while frequently overseeing employee populations across multiple platforms, divisions, and lines of business
- Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives
- Manages multiple stakeholders, complex projects, and large cross-product collaborations
- Influences peer leaders and senior stakeholders across the business, product, and technology teams
- Champions the firm’s culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
Job responsibilities
- Leads multiple technology and process implementations across data engineering to achieve firm wide technology objectives
- Directly manages multiple areas with strategic transactional focus
- Provides leadership and high-level direction to teams while frequently overseeing employee populations across multiple platforms, divisions, and lines of business
- Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives
- Manages multiple stakeholders, complex projects, and large cross-product collaborations
- Influences peer leaders and senior stakeholders across the business, product, and technology teams
- Champions the firm’s culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Proven experience in designing and developing large scale data pipelines for batch & stream processing
- Strong understanding of Data Warehousing, Data Lake, ETL processes and Big Data technologies (e.g Hadoop, Apache Spark, Apache Kafka)
- Expertise in cloud platforms (e.g., AWS, Azure, GCP) and modern data processing & engineering tools
- Excellent communication, presentation and interpersonal skills
- Experience with Data Governance, Data Quality & Data Security practices
- Experience with supporting large scale AI/ML Data requirements
- Experience in Data visualization & BI tools
Preferred qualifications, capabilities, and skills
- Experience working at code level
- Degree in Computer Science, Computer Engineering, Mathematics, or a related technical field