Senior Data Architecture Lead

Key Job Description:

This is a senior Engineering Lead role with the following main responsibilities: 

• Understand the overall domain architecture and manage changes within them.
• Expertise in Big data development - python, Spark, Scala programming skills.
• Responsible for developing conceptual, logical, and physical data models, implementing RDBMS, operational data store (ODS), data marts, and data lakes on target platforms.
• Oversee and govern the expansion of existing data architecture and optimize data query performance via best practices. The candidate must be able to work independently and collaboratively.
• Understand applications within the domain and become knowledgeable on them.
• Able to work independently, self-enabled & motivated personality.
• Use the Escalation Matrix for tasks that are showstoppers or blockers to meet the timeline.
• Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC.
• Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
• Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required.

Responsibilities Include:

Business Responsibilities:

• Work hand in hand with Trade business and tech partners, taking product programs from investment decisions into design, specifications, solutioning, development, implementation and hand-over to operations, securing support and collaboration from other teams.
• Manage business partner expectations.
• Ensure delivery to business meeting time, cost and with high quality.
• Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models.

Processes and Standards:

• Responsible for delivering business initiatives aligning to SCB defined technology, Agile principles and project management processes & frameworks.
• Support Business Operating Models, Standards, Finance, Risk Controls and compliance with regulations.
• Communicate regularly with stakeholders, project managers, quality assurance teams, and other developers regarding progress on long-term technology roadmap.
• Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
• Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.

People and Talent:

• Lead through example and build appropriate culture and values. Set appropriate tone and expectations for the team and work in collaboration with risk and control partners.

Governance and Compliance:

• Embed the Group's values and code of conduct in the Team to ensure adherence with the highest standards of ethics and compliance with relevant policies, processes, and regulations among employees form part of the culture.
• Ensure compliance with the highest standards of regulatory and business conduct and compliance practices as defined by internal and external requirements. This includes compliance with local banking laws and anti-money laundering regulations and guidelines.
• Awareness and understanding of the regulatory requirements and expectations relevant to the role.

Regulatory and Business Conduct:

• Display exemplary conduct and live by the Group's Values and Code of Conduct.
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Key Stakeholders:

• Product Development Team of CCIB Trade.
• Program Managers / Project Managers.
• Hive Lead.
• Internal Customers such as the consumers of the data.

Other Responsibilities:

• Strong Team Player.
• Work Closely with Business and development team.
• Good analytical & interaction skills.
• Sound statistical knowledge, analytical and problem-solving skills are desirable.
• Good communication skills to be able to understand requirements and articulate solutions/feedbacks.
• Curious to learn new technologies.
• Positive Attitude.
• Proactive approach than reactive.

Qualification:

• Field of Study.
• Bachelor /Masters Degree in Computer Science/Equivalent or IT/Maths/Statistics/Quantitative/Business.
• Strong knowledge of IT principles and system development lifecycle. Sound statistical knowledge, analytical and problem-solving skills are desirable.

Certification:

• Preferred to have any certifications on Data Engineering or Data Science.

Domain and Technical Knowledge:

• 5+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).
• Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
• Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required.

Experience:

• Overall Experience of about 14+ years anticipated.

Role Specific Technical Competencies:

• Knowledge on Oracle/Postgre data bases.
• Knowledge on Big Databases – Hive, Hbase.
• Expert in Big data development - python, Spark, Scala programming skills.
• Basic Knowledge on Java, Spring, Spring Boot, Spring Cloud, Oracle, Elasticsearch, Hazelcast, Kafka, REST APIs, JSON/YML.