Data Architect with Mongo DB

Key Responsibilities:

• As a Senior Database specifical, you will play a pivotal role in driving and shaping Pershing X – Trading and Rebalancing’ data strategy as we start on exciting initiatives to build a highly scalable and incredibly resilient Portfolio Management system in Pershing X space. Working closely with the team and your peers, will be responsible for-
• The Design and Delivery of data solutions using Mongo, with an emphasis on quality automation and continuous integration.
• Supporting the development and implementation of a data strategy that enables current and future data processing, analytics and reporting requirements in alignment with the overall Pershing X’ data strategy and priorities.
• Contributing to the development and implementation of appropriate practices, standards, governance and risk management processes for data delivery
• Evaluation of different architectural and software solutions, understanding trade-offs and designing, delivering appropriate solutions.
• In the business-facing role, you will be working in a fast-paced environment and should be able to share ideas and fresh perspective based on your prior experience(s) Working to collaborate with peers and contribute to new technology discussions.
• Building strong relationships with business stakeholders, collaborate on requirements, relationships and ensuring that the technology deliveries are aligned with business goals and strategy.
• Writing reusable, testable and efficient code besides coming up with best practices for information security and data protection.

Job Specific Competencies Technical Skills/System Knowledge( and associated skill level)

• Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required.
• A Minimum of 8 years of experience in software development required; Good understanding of financial markets with prior experience in building, supporting front [1]office trading systems is a plus.
• Minimum 5 years of experience around building highly scalable systems using MongoDB.
• Demonstrable experience building data pipelines in Python.
• Experience building on the Public Cloud (preferably Azure or AWS)
• Experience using cloud based PaaS data platforms such as Snowflake and Databricks.
• Experience with modern opensource ETL/ELT and orchestration tools such as Airbyte or Airflow.
• Experience with data modelling for both operational and analytical datastores
• Experience with data lake concepts and strong understanding of data design patterns culminating into microservices development.
• Experience in developing Data Pipelines to support near-real-time and event-driven messaging and data processing.
• Expertise in Agile development
• Experience in handling high volume data processing through concurrency and multi[1]threading techniques to build scalable, performant and resilient applications.
• Collaborate cross-functionally with data engineers, business users, project managers and other engineers to achieve elegant solutions.