Director of Data Engineering
Director of Data Engineering
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Job Description
As a Director of Software Engineering at JPMorgan Chase within the Corporate Technology Regulatory Reporting Team you will be at the helm of a technical area influencing teams technologies and projects across various departments. Your extensive understanding of software applications technical processes and product management will be instrumental in steering multiple complex projects and initiatives. As the primary decision maker for your teams you will be a catalyst for innovation and solution delivery.
You are an integral part of an agile team that works to enhance build and deliver trusted marketleading technology products in a secure stable and scalable way. As a core technical contributor you are responsible for conducting critical technology solutions across multiple areas within various business functions in support of the firms objectives. You will be responsible to build & transform data strategy to ensure data is being consumed and leveraged within the ecosystem of the application suite appropriately. Data processing pipelines that includes setting leveraging data models & entities in data lake environment (onprem or AWS) data sourcing ingestion enrichment and business reporting build or enhance data analytics and reporting solutions are using technologies like Databricks Python Java various inhouse applications & public cloud platforms(AWS) services & BI tools like Tableau Cognos Alteryx
Job responsibilities
- Obtain formal training or certification on Databricks concepts and expert applied experience. In addition advanced experience leading technologists to manage anticipate and solve complex technical items within your domain of expertise
- Defining Data strategy consumption pattern data lineage and contracts. Working with senior business/tech stakeholders on consumption patterns and SLAs including Op model for different asset class dataset
- Lead the initiatives to setup and leverage data models & entities in data lake environment (internal and public cloud like AWS) Build data pipelines that includes sourcing information writing logic for ingestion enrichment and business analytics and reporting
- Integrate data pipeline with analytical and reporting tools includes Tableau Cognos Alteryx and Java based applications) Customize GAIA and Public Cloud(AWS) based UI/UX applications (Add new reporting workflows orEnhance existing leveraging Core Java Java scripting Mongo DB etc)
- Perform data analysis performance tuning and issue investigations (on databases Databricks Big data and Cloud platforms.
- Carries governance accountability for coding decisions control obligations and measures of success such as cost of ownership maintainability and portfolio operations
- Create tools for automation business logic generation testing and data reconciliation. Participate in design discussion and code reviews
- Delivers technical solutions that can be leveraged across multiple businesses and domains executes creative software solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure highquality production code and reviews and debugs code written by others.Leads evaluation sessions with external vendors startups and internal teams to drive outcomesoriented probing of architectural designs technical credentials and applicability for use within existing systems and information architecture
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Influences peer leaders and senior stakeholders across the business product and technology teams and leads communities of practice across Software Engineering to drive awareness and use of new and leadingedge technologies. Champions the firms culture of diversity equity inclusion and respect.
Required qualifications capabilities and skills
- Formal training or certification on software engineering SDLC concepts and expert applied experience. In addition advanced experience leading technologists to manage anticipate and solve complex technical items within your domain of expertise.
- Handson practical experience delivering system design application development testing and operational stability
- Extensive handson development industry experience and indepth knowledge of Databricks (including DLT) databases (Oracle or DB2 or Sybase) any Query Language like PL/SQL Domain specific Language (DSL) and in data modeling(This is most important skill requirement for this role)
- Proficiency in automation and continuous delivery methods with deep understanding/ practical know how on the importance of Regression Testing & Code Coverage etc.
- Advanced understanding of agile methodologies such as CI/CD Applicant Resiliency and Security
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g. cloud artificial intelligence machine learning mobile etc.
- Practical cloud native experience.
- Experience developing or leading crossfunctional teams of technologists
- Experience with hiring developing and recognizing talent
- Experience leading a product as a Product Owner or Product Manager
Preferred qualifications capabilities and skills
- Experience working at code level
- Indepth knowledge of the financial services industry and their IT systems Exposure to Regulatory reporting domain will be preferable)
- Knowledge of Kafka Spark and Scala Kuberneteswill be preferred
Required Experience:
Director
Employment Type
Full-Time
