Role Summary & Role Description:
The Lead is responsible to give strong tech leadership to Funding & Collateral Optimization Team of Global Markets for REPO business and closely involved in delivery of all major components. Lead should be reviewing the current state data & application landscape and setting the strategy for the FaCT team's future state architecture to providing direction for delivery of the target state.
The person appointed will be an integral member of Global Markets Applications in DMC and will be responsible for the design and implementation of the Portfolio wide data & application strategy, ensuring the strategy supports the current and future business needs.
They will apply their knowledge of good architecture practice, architecture documentation and data technologies to comprehensively capture the bank's current state data architecture and oversee target state design and implementation.
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The role will involve collaborating with Business, Data Management Office and internal and external IT stakeholders at all levels to ensure the data strategy and associated implementation is adding value to the FaCT Business Stakeholders.
Main duties
• Lead implementations to provide scalable design on Databricks, state of the art Development & engineering practices, Automation for Quality assurance & Maintenace in production.
• Work closely with global & regional Business and Technology stakeholders
• Participate in org wide initiatives
• Documenting the detailed data & application architecture for both current and target state and strategy to move from onPrem bigdata hadoop system to cloud Databricks
• Understand and implement data privacy requirements
• Understand the application architecture and data flow/transformation
• Capturing the logical & physical data models for both current state and the target state
• Setting the strategy for architecture to support the Business and IT strategies while maintaining the data architecture principles
• Lead architecture governance for the portfolio and provide subject matter expert inputs to design decisions across teams within the portfolio
• Manage holistic roadmap of architecture change initiatives across the coordinating requirements across different initiatives
• Be a key stakeholder and advisor in all new strategic data initiatives and ensure alignment to the enterprise wide data strategy
• Build a framework of principles to ensure data integrity across the business
• Build and maintain appropriate Data Architecture artifacts including; Entity Relationship Models, Data dictionary, taxonomy to aid data traceability
• Provide technical oversight to Solution Architects in creating business driven solutions adhering to the enterprise architecture and data governance standards
• Develop key performance measures for data integration and quality
• Support third party data suppliers in developing specifications that are congruent with the Enterprise data architecture
• Line management of Lead data professionals, responsibilities will include talent management, appraisals, 1:1s, meetings, identifying and delivering training needs, motivating and performance managing the team
• To strengthen the team with required skills for high quality delivery of technical solutions and to assist in resourcing decisions
• To drive consistent standards and approaches throughout the team, building an environment that encourages continuous improvement and innovation
Knowledge and experience
Core/Must have skills
• Strong in Data driven applications for Capital Markets Trading platforms
• Strong understanding of data pipeline (extract, transform and load) processes and the supporting technologies such as Oracle PL/SQL, Unix Shell Scripting, Python, Autosys, Hadoop Spark & Scala, Databricks, AWS, Azure etc.
• Micro service Architecture in J2EE for data lifecycle
>Movement of huge data using secured pipeline from on-prem to Cloud
>Build end to end pipeline in Databricks for Data platform
>Excellent problem solving and data modelling skills (logical, physical, sematic and integration models) including normalization, OLAP / OLTP principles and entity relationship analysis
>Experience of mapping key Enterprise data entities to business capabilities and applications
>Extensive experience in architecting and implementing enterprise data warehouse, Master data Management, data integration, BI & analytics and data management platforms
>Experience of creating and implementing data strategies that align with business objectives.
>Experience of mapping key Enterprise data entities to business capabilities and applications
>Excellent communication and presentational skills, confident and methodical approach, and able to work within a team environment
Good to have skills
>Experience of working in Financial Services
Qualification:
A bachelor's/master's degree in technology or related field.
Proficiency in Application architecture, Engineering practices & Big data implementations
Strong in Oracle, Data security, Data Entitlements
Understanding of Data Management tools, to mine data, data masking techniques, automate test data generation for test execution
Strong engineering skills, including knowledge of languages such as Java (Hive, Apache, Hadoop) and Scala (Apache Spark, Kafka).
Behavioral
Outcome & Execution driven
Thoughtful leadership
Design for future
Quality obsession
Good interpersonal skills
Excellent verbal & written communication skills
Team player
Attention to detail and a methodical approach to work
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