Svp/vp, Senior Principal Architect/customer Success

**Business Function**

Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.

**Responsibilities**

The position exists in Data and Analytics platform - The Principal Architect functions as an individual contributor and knowledge expert both within and outside the organization.

(1) Key Accountabilities
- Understand our core business objectives and build end-to-end data centric solutions to address them.
- Collaborate with BU/SU, to understand business requirements, use cases, data, and work with them to build solution, and onboard them in Analytics platform.
- Work with framework team for automation of data ingestion, processing & security that caters to the Bank’s standards and project requirements.
- Establish best practices and guidelines to be followed by BU/SU teams working on Cloud, AI/ML and Analytics/Hadoop platform.
- Provide on-time solutions and design for initiatives and projects on Analytics/Hadoop platform.

(2) Job Duties & responsibilities
- Architect is responsible for designing, building, and managing the data architecture of a cloud-based system. The primary objective of the job is to ensure the availability, reliability, and scalability of data systems in the cloud.
- The role involves working closely with business stakeholders and technical teams to understand data requirements and translate them into data and AI/ML architecture solutions. The cloud data and AI/ML architect must possess in-depth knowledge of cloud technologies, AI/ML tools, data modelling, data warehousing, data integration, and data management best practices.
- Translates data services and/or analytics needs into solutions that leverage the Analytics (Cloud or on-Prem) and the applicable design patterns.
- Define technical scope and objectives through research and participation in Solutioning phase with project team.
- Adhere to all applicable Enterprise Data Platform development policies, procedures and standards.
- Provide educational/mentoring assistance to project teams and others.
- Collaborate closely with Platform and Engineering teams and assist engineers, when required, to ensure timely delivery of project deliverables.
- Rapid response and cross-functional work to deliver appropriate resolution of technical, procedural, and operational issues.
- Work with the team in an Agile/Kanban/Dev-Ops environment to ensure quality products are delivered.
- Assessing tool implementations and architectures in the analytics, DW & BI space, reviewing for gaps against business needs and industry best practices.
- Contributing to business process design and re-engineering impacted areas.
- Providing oversight to Analytics and data warehousing activities in the team to ensure alignment of priorities, coordination of inter-related projects and ensuring success stories are leveraged.
- Effectively communicating analyses, recommendations, status, and results to both business & technology leads.
- Leading proof of concepts to create break through solutions, performing exploratory and targeted data analyses to drive iterative learning’s.

**Requirements**:

- 10+ years’ experience customer management, Cloud and and AI/ML architecting and integrating the Hadoop platform with traditional RDBMS data warehouses.
- At least 6 to 10 years of working experience, preferably in banking environments.
- Experience with Data Engineering or Big Data Technologies, or Data Transformation, Cloud and AI/ML.
- Relevant cloud certifications, such as AWS Certified Solutions Architect, Azure Solutions Architect, or Google Cloud Certified - Professional Cloud Architect.
- Experience in architecting and building scalable data platforms.
- Experience with major Hadoop distributions like Cloudera (preferred), Amazon EMR(preferred), or GCP is essential.
- Knowledge of data security and privacy regulations.
- Excellent oral and written communication skills.
- Excellent analytical and problem solving skills.
- Thorough understanding of big data architectures including physical composition (e.g. network, storage, compute, and hardware) as well as distribution, partitioning, and parallelism.
- In addition to years’ experience, the senior role means an increased level of autonomy is expected. Expanded/multi-discipline skills are acquired and demonstrated and judgment and decision-making are more critical skills. One would be expected to handle more complex challenges, assignments, and initiatives.
- Experienced on Cloud and and AI/ML toolsm, Hadoop frameworks such as Spark, Presto, Kafka, Hive, Hbase, etc in Cloud based system.
- Strong knowledge of Big data, analytics, relational database systems and data warehousin