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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, Consent Order and Regulatory needs evolve across the globe and also addressing the current regulatory demands on the existing platform.
Responsibilities:
The Senior Dev Lead will be responsible for design and development of data solutions 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 and will be responsible for the stability and performance optimization of the delivered solutions.
Drive the design and development to support use-cases of 2025 from finance, risk, services business and also helping on other key initiative under Consent Order as Data Concerns Remediation.
Provide technical guidance to Data Engineers for development standardization to minimize the application outage to ensure Consent Order related delivery timeline SLAs are met for data pipelines.
Assess opportunities to simplify/rationalize/refactor the existing database schemas paving way for modularization of the existing stack
Liaise closely with Solutions Architect team that is responsible for implementing data strategies and developing logical and physical data models.
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.
Exposure to Industry Core Banking Platforms is must e.g. Flexcube, PISMO
Liaise closely with Product Owners to translate the User Stories to well-defined technical requirements and solutions.
Qualifications:
6 to 10 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.
Extensive experience with Data Integration patterns.
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
Experience with ETL tools - Ab Initio, Talend
Relational SQL, NoSQL, and Cloud Native databases - Postgres, Cassandra, Snowflake
Big data platforms - Hadoop, Apache Kafka
Experience with stream-processing engines - Apache Spark, Apache Storm, or Apache Flink
Experience with data pipeline and orchestration tools - Azkaban, Luigi, or Airflow
Ability to adjust priorities quickly as circumstances dictate
Demonstrated leadership and project management skills
Consistently demonstrates clear and concise written and verbal communication
Education:
Bachelor’s degree/University degree, or equivalent experience required
Anticipated Posting Close Date:
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