SVP/VP, Senior Principal Architect/Customer Success Manager, Data Technology, Technology
3 months ago
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.
This role to lead solution for Cloud Data Architecture and AI/ML use case. Candidate leads complex projects that span multiple disciplines and ensures the success of IT and business alignment. Contributes to the planning of the overall organizational Data & Analytics strategy.
(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 (, 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 warehousing techniques in Cloud. Highly collaborative work style, yet must demonstrate ability to provide leadership to a cross-functional team, leveraging strong project management skills. Experience with NoSQL databases like HBase, Cassandra, Redis and MongoDB. Certifications from AWS or GCP or Cloudera, is a must.Apply Now
We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.
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