About the job Datalake Architect
Job Description: We are seeking an experienced and innovative Data Architect to design and implement scalable data architectures that meet the specific needs of financial services, ensuring compliance and optimizing data management processes.
Key Responsibility:
1. Design and implement scalable data architectures using Databricks to meet the specific needs of financial services, such as risk management, compliance, and customer analytics.
2. Conduct assessments of existing data architectures to identify areas of improvement and recommend remediation plans to optimize data management processes and systems.
3. Develop data migration strategies and oversee the execution of data migration activities to ensure data integrity and minimal disruption to client operations.
4. Build and optimize data ingestion and processing pipelines to facilitate real-time analytics and reporting.
5. Collaborate with business units to understand their data requirements and translate them into technical specifications that align with business goals.
6. Ensure data solutions adhere to financial regulations and best practices in data governance, including data security and privacy standards.
7. Monitor and tune the performance of data systems to ensure efficiency and reliability, addressing any bottlenecks or issues that arise.
8. Provide guidance to junior data engineers and analysts to promote a culture of continuous improvement and skill development.
9. Develop and maintain comprehensive documentation for data architectures, including architecture diagrams, deployment guides, and operational procedures.
10. Lead the design and implementation of data artifacts, including data modeling, data integration, data storage, and data governance based on industry best practices and client-specific requirements.
11. Stay informed about the latest industry trends, tools, and techniques in Databricks Platform Architecture to drive innovation and maintain competitive advantage.
12. Ensure availability during month-end deck generation, including weekends or holidays, to support critical business operations.
Head Count: 1
Knowledge: Strong understanding of data engineering concepts, cloud services, data governance, and security controls.
Skills: Excellent problem-solving abilities, strong project management skills, effective communication, and collaboration skills.
Attitude: Positive, detail-oriented, proactive, and committed to continuous learning and improvement.
Qualifications: Proven experience of 7 years as a Data Architect, Data Solutions Architect, or similar role in a consulting environment.
Reports to: Shikha Khandelwal
Company Overview: We are one of India’s fastest growing NBFCs, Disbursing a loan every 30 seconds . On the corporate lending front, we have extremely strong relationships with over 2000 high growth companies. Finance made Easy. There simple words, that drive India’s Next Gen Ultra lean Credit Champion - Hero FinCorp. Incorporated in Dec 1991 as Hero Honda Finlease Limited; the Restructuring of our parent company Hero MotoCorp Ltd, let to our present form as Hero FinCorp Ltd. We will spare no effort in upping the ante to record success and break new ground; with our diverse and competitively priced products, repertoire of marquee clients, extensive geographic presence and outstanding customer experience. Our vision is to be A financier of Choice and become a one stop financial services company, by offering world class products through innovation and team work
Industry: Financial services
Company Size: Massive (1001+ employees)
Technologies to be used: Databricks, ADF/Lambda, ADLS/S3, Python, Spark, Docker, Kubernetes, GitHub, Jenkins, PowerBI, Tableau, Qliksense
Team Culture: Clearly defined roles
Benefits: Competition Compensation as per market Standards.
Employment Type: Full-time Employee
Experience level: 8-18 years
Selection Process: Reviewing of applications and CV Screening, Screening Call, Assessment Test followed by Interview
Notice period: Must join in 45 days
Compensation: 15-35 INR
Relocation Assistance: Yes
Mode of Work: In-office
Location: Downtown, Gurgaon Haryana ,Bangalore