JPMorgan Director Data Engineering 

United Kingdom, Scotland 

810793033

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 SLA's 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 or Enhance 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 high-quality production code, and reviews and debugs code written by others. Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented 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 leading-edge technologies. Champions the firm’s 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.
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Extensive hands-on development industry experience and in-depth 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 cross-functional 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
• In-depth knowledge of the financial services industry and their IT systems ( Exposure to Regulatory reporting domain will be preferable)
• Knowledge of Kafka, Spark and Scala , Kubernetes will be preferred