Modern Data Platform Architect

 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.

12â"“16 years of experience in data engineering and analytics, with 5â"“7 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.

Self-Test Questions
If this role interests you, ask yourself below question to check if you meet the minimum qualification to apply.

Do you have over 12 years of experience in data engineering and analytics, including 5+ years working with Big Data systems?

Can you demonstrate proficiency in designing and developing data platforms across cloud and on-premises environments, including implementing governance and quality frameworks?

Are you skilled in SQL and programming languages such as Core Java, Scala, or Python, and experienced with tools like Kafka, Snowflake, Databricks, AWS, or Azure?

Have you successfully led architecture and design projects for mid-to-large-scale firms, and mentored teams in adopting modern data engineering practices?

Do you have experience of Data Modeling across RDBMS, No SQL, Columnar and Graph Dbs?

Career Level - IC4

Skills:
AWS Data Pipeline Design,Analytical Skills,Azure Data Lake,Data Architecture,Data Pipeline Architecture,Distributed Technologies,Oracle Analytics Cloud Services,PySpark,Python (Programming Language),SQL (Structured Query Language),Spark,Tableau