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The Solution Architect role involves driving the architectural transformation for Core Accounts technology, building out horizontally scalable and highly resilient data platforms, and delivering innovative solutions for global banking. The role demands expertise in data modeling, integration patterns, and industry-standard tools.
Job Responsibility:
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 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
Liaise closely with Product Owners to translate the User Stories to well-defined Technical requirements and solution
Requirements:
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 and ETL tools - Talend, Ab Initio, Experience with Data Analytics/visualization tools - Looker, Mode, or Tableau
What we offer:
Competitive base salary (annually reviewed)
Hybrid working model (up to 2 days working at home per week)
Additional benefits supporting you and your family
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