Principal Software Engineer

• Creates complex and scalable coding frameworks using appropriate software design frameworks
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Advises cross-functional teams on technological matters within your domain of expertise
• Serves as the function’s go-to subject matter expert
• Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies
• Creates durable, reusable software frameworks that are leveraged across teams and functions
• Influences leaders and senior stakeholders across business, product, and technology teams
Champions the firm’s culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on data management concepts and 10+ years applied experience.
• Experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise.
• 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, Snowflake, Databricks, Apache Spark, PySpark, Airflow, Apache Kafka, Java, Open File & Table Formats, GIT, CI/CD pipelines etc. )
• Expertise with public cloud platforms (e.g., AWS, Azure, GCP) and modern data processing & engineering tools
• Excellent communication, presentation, and interpersonal skills Experience developing or leading large or cross-functional teams of technologists
• Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale
• Experience leading complex projects supporting system design, testing, and operational stability
• Experience with hiring, developing, and recognizing talent
• Extensive practical cloud native experience
Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills

• Experience working at code level and ability to be hands-on performing PoCs, code reviews
• Experience in Data Modeling (ability to design Conceptual, Logical and Physical Models, ERDs and proficiency in data modeling software like ERwin)
• Experience with Data Governance, Data Privacy & Subject Rights, Data Quality & Data Security practices
• Strong understanding of Data Validation / Data Quality
• Experience with supporting large scale AI/ML Data requirements
• Experience in Data visualization & BI tools is a huge plus