Modern Data Platform Architect

usingusingclient's

About Oracle FSGIU-Finergy:

The Finergy division within Oracle FSGIU is dedicated to the Banking, Financial Services, and Insurance (BFSI) sector. We offer deep industry knowledge and expertise to address the complex financial needs of our clients. With proven methodologies that accelerate deployment and personalization tools that create loyal customers, Finergy has established itself as a leading provider of end-to-end banking solutions. Our single platform for a wide range of banking services enhances operational efficiency, and our expert consulting services ensure technology aligns with our clients' business goals

Responsibilities

As a Senior Data Architect in the Modern Data Platform Practice, you will:

• Lead discussions on modern data platform solutions, including architecture finalization, technology/tool selection, and execution strategies.
• Assess the current data platform maturity at client sites, define end-state architecture, and create milestone-based execution roadmaps.
• Design and develop data engineering and analytics platforms for on-premises or cloud environments (e.g., AWS, Azure, OCI, hybrid, Snowflake, Databricks).
• Evaluate program complexities and risks to provide accurate cost/time estimates and risk mitigation strategies.
• Collaborate with sales and delivery teams to secure new mandates and resolve issues in existing data projects.
• Mentor data engineers and analysts on contemporary designs, architectures, and technologies aligned with banking industry needs.
• Monitor emerging technologies in data storage, processing, and visualization, leading POCs/MVPs to demonstrate capabilities to clients.
• Develop playbooks, presentations, datasheets, and collateral to showcase Modern Data Platform capabilities.

Mandatory Skills

• BE/BTech/MCA in Computer Science, Information Technology, or Data Technologies.
• 10-15 years of experience in data engineering and analytics, with 5 years in big data systems across on-premises and cloud environments.
• Proven experience in designing and implementing data platforms for mid-to-large firms.
• Hands-on expertise in SQL and at least one programming language (e.g., Core Java, Scala, Python).
• Strong knowledge of distributed computing and data structures.
• Proficiency in Kafka for event-driven data pipelines and processing.
• Deep understanding of data governance and quality for on-premises/cloud platforms.
• Experience of having used data services of the leading cloud platforms, viz., AWS, Azure, Snowflake, Databricks, and OCI.
• Experience implementing batch and streaming/online data integrations with third-party tools or custom programs

Good to Have Skills

• Experience with scripting languages (e.g., Bash) for automation and data manipulation.
• Exposure to leading RDBMS technologies and data visualization tools (e.g., Tableau, Power BI, Looker).
• Ability to create impactful dashboards and reports for data insights.
• Knowledge of leveraging AI/ML models for data processing and generating insights.