Solution Architect

Services is a leading provider of cash management, treasury, trade, clearing, depository receipts and commercial cards services. Services has a global network spanning more than 100 countries and is unique in the industry for its reach and product offering. We provide clients with dynamic information, tools, and APIs to effectively manage their portfolios, financial positions, working capital and supply chains.

One of the key functions within Services is Core Banking Technology. This group is responsible for technology that drives Core Banking capabilities for our clients. Core Accounts Technology is currently undergoing a multi-year large scale transformation tackling eCommerce-scale growth programs as well as retirement of the legacy infrastructure, building out of a next generation best in class set of capabilities that will evolve as our Client, Market and Regulatory needs evolve across the globe and also addressing the current regulatory demands on the existing platform.

As such, we are looking for talented technologists to help build the future of global banking Platform as well as addressing the current need on existing platform and right place them accordingly. This is an incredible opportunity to be part of this transformation journey.

The Solution Architect is an intermediate level position for liaising between business users and technologists to exchange information in a concise, logical and understandable way in coordination with the Technology team. The overall objective of this role is to contribute to continuous iterative exploration and investigation of business performance and other measures to gain insight and drive business planning

Responsibilities:

• The Solution Architect will be responsible for re-engineering the interaction of incoming and outgoing data flows from the Core Accounts DDA platform to Reference Data platforms, Data Warehouse, Data Lake as well as other local reporting systems which consume data from Core Accounts

• Drive the data architecture and roadmap for eliminating non-strategic point to point connections and batch handoffs

• Define canonical data models for key entities and events related to Customer, Account, Core DDA in line with the Data Standards

• Assess opportunities to simplify/rationalize/refactor the existing database schemas paving way for modularization of the existing stack

• Provide technical guidance to Data Engineers responsible for designing an Operational Data Store for intra-day and end-of-day reporting. Implementing data strategies and developing logical and physical data models.

• Formulate efficient approach to rationalize and formulate strategy to migrate reports

• Build and nurture a strong engineering organization to deliver value to internal and external clients

• Acts as SME to senior stakeholders in business, operations, and technology divisions across upstream and downstream Organizations.

• Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users.

• Exposure to Industry Core Banking Platforms is must eg Flexcube, PISMO

• Liaise closely with Product Owners to translate the User Stories to well-defined Technical requirements and solutions

Qualifications

• 5-8 years relevant industry experience

• Significant experience in Data modeling, Data lineage analysis, Operational reporting, preferably in a global organization

• Proven architecture experience in solutioning of horizontally scalable, highly available, highly resilient data distribution platforms

• Proficient in message queuing, stream processing, and highly scalable ‘big data’ data stores.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

• Strong analytic skills related to working with unstructured datasets.

• Extensive experience with Data Integration patterns.

• Extensive experience with Real/Near Real time streaming patterns.

• Strong background in Data Management, Data Governance, Transformation initiatives preferred.

• Preferred Experience/Familiarity with one or more of these tools

  • Big data platforms - Hadoop, Apache Kafka

  • Relational SQL, NoSQL, and Cloud Native databases - Postgres, Cassandra, Snowflake

  • Experience with data pipeline and orchestration tools - Azkaban, Luigi, or Airflow

  • Experience with stream-processing engines - Apache Spark, Apache Storm, or Apache Flink

  • Experience with ETL tools - Talend, Ab Initio

  • Experience with Data Analytics/visualization tools - Looker, Mode, or Tableau

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