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Datalake Architect

Mhymatch
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Datalake Architect

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About the job Datalake Architect

Job Title

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.

  • Conduct assessments of existing data architectures to identify areas of improvement and recommend remediation plans to optimize data management processes and systems.
  • Develop data migration strategies and oversee the execution of data migration activities to ensure data integrity and minimal disruption to client operations.
  • Build and optimize data ingestion and processing pipelines to facilitate real-time analytics and reporting.
  • Collaborate with business units to understand their data requirements and translate them into technical specifications that align with business goals.
  • Ensure data solutions adhere to financial regulations and best practices in data governance, including data security and privacy standards.
  • Monitor and tune the performance of data systems to ensure efficiency and reliability, addressing any bottlenecks or issues that arise.
  • Provide guidance to junior data engineers and analysts to promote a culture of continuous improvement and skill development.
  • Develop and maintain comprehensive documentation for data architectures, including architecture diagrams, deployment guides, and operational procedures.
  • 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.
  • Stay informed about the latest industry trends, tools, and techniques in Databricks Platform Architecture to drive innovation and maintain competitive advantage.
  • 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

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Skills

  • Databricks
  • AWS Lambda
  • S3
  • Python
  • Spark
  • Docker
  • Kubernetes
  • GitHub
  • Jenkins
  • Power BI
  • Tableau

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