Director Data Engineering

Person in this role will be a key member of Asset Management Technology Team responsible for extending the Investments domain knowledge in the organization alongside building and enhancing data pipelines. A successful candidate should be a motivated self-starter with an aptitude for learning new skills and environments quickly while being able to manage more than one high-priority deliverable.

Be responsible for leading in provide right support in application software development that is delivered on time and within budget. Work closely with business teams and project teams to understand business requirements, drive the analysis and design of quality technical solutions that are aligned with business and technology strategies, and comply with the organizations architectural standards. Provide technical guidance to the development team through the full software life cycle.

• Deep knowledge of Investments domain in the Asset Management line of business.
• Create low high and level design documents (including code samples/outlines) and detailed data engineering specifications based on complex business, user, and non-functional (e.g., performance, reliability, balance, and controls) requirements. Write code that adheres to coding standards, procedures, and techniques. Maintain the integrity of existing program logic according to specifications.
• Actively participate in the code review process to ensure development work adheres to standards and specifications (including peer review and code review external to team). Ensure the quality of work completed by vendor partners. Write and/or revise system design documentation and operations documentation to include providing required input into operation support manuals
• Rigorously test code and programs prior to releasing them to quality assurance. Help resolve integration issues. Assist quality assurance in identifying test cases and creating/mining test data to enable a thorough test of all development deliverables. Respond to all inquiries and issues in a timely manner as developed code/program moves through the testing process.
• Provide mentoring and direction to more junior members of the application development team. Influence the shaping of standards and tools. Provide governance oversight to ensure project adherence to development strategy, standards, policies, tools, and procedures. Guide the development team to consistently apply appropriate development principles and standards during all phases.
• Work in partnership with the project and program teams and business to fully understand project goals and requirements and use this knowledge to effectively plan and execute the development process. Participate in project design walkthroughs. Evaluate interrelationships between applications to determine whether a change in one part of the project would impact or cause undesirable results in related applications and design for effective interfaces between interrelated applications.
• Improve the health of system assets by identifying enhancements to improve performance, reliability, and resource consumption. Track exceptions to standards (e.g., security gaps) to ensure they are addressed in a planful and timely fashion. Evaluate and troubleshoot root-cause analysis for production issues and system failures; determine corrective action(s) and propose improvements to prevent their recurrence.
• Maintain up-to-date business domain knowledge and technical skills in software development technologies and methodologies. Provide input in the selection, implementation and use of development tools and best practices. Work effectively in a team environment to ensure that solution delivery is on time, within cost estimates and meets business needs.
• Help extend the depth of Investments knowledge in the team ecosystem to make it more fortified and fully rounded.

• Bachelors degree or equivalent in Computer Science, Engineering, or related field; or equivalent work experience.
• 15+ years of experience developing data engineering pipelines based on Informatica, AWS and/ or equivalent cloud provider. Deep knowledge of databases SQL and No-SQL.
• Demonstrable experience in SQL development which includes but not limited to writing views, stored procedures, functions.
• 5+ years of experience in developing data capabilities in cloud [AWS or Azure]
• Data Driven application development experience using AWS Services
• Cloud Certification (AWS)
• Experience with Athena, NoSQL databases (Redis, DynamoDB) and caching
• Hands-on data engineering experience. (Exp on AWS Glue, EMR, EMR serverless, big data or any similar)
• Experience with Python
• Experience with Snowflake.
• Exposure to Salesforce sales cloud and Salesforce Marketing cloud will be added advantage.
• Proven knowledge of development tools such as Git, CICD/automation tools such as Jenkins, Ansible etc.
• Experience writing automated unit tests.
• Experience leading small teams.
• Proven ability to write quality code by following best practices and guidelines.
• Strong problem-solving, multi-tasking and organizational skills.
• Good written and verbal communication skills.
• Demonstrable experience of working on a team that is geographically dispersed.

• Knowledge of Asset Management Industry is a plus.
• Experience with AI/ MLOps
• Proven ability to successfully translate client/business needs into software designs.
• Proven analytical and business skills to reconcile conflicting objectives and find/design acceptable compromises within existing limitations.
• Understand and apply both current technical solution elements (specific tools, components, and frameworks) and abstract elements (algorithms and architectures).
• Effectively apply technology/engineering knowledgebase to multiple and evolving programs and languages.

(2:00p-10:30p) Technology