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Exponentia.ai - Data Architect - Azure Cloud (8-10 yrs)

8-10 years

Exponentia.ai - Data Architect - Azure Cloud (8-10 yrs)

Exponentia.ai

posted 1mon ago

Job Role Insights

Flexible timing

Job Description

Job Details :

Position : Data Architect - Azure

Experience : 8+ Years

Location : Pune

Required Skills : Azure Delta Lake (ADL), Azure Databricks (ADB), PySpark, SQL, Python

Role Overview :

Exponentia.ai is seeking a skilled and experienced Data Architect with expertise in Azure to join our dynamic team. Data Architect is responsible for designing technical solution and overseeing the implementation of solutions on Azure/AWS and Databricks including the high level and low level designs, data models and related aspects of the solution. This role requires client interfacing on solutions, architecture approvals and ensuring code reviews to ensure best practices are implemented.

Job Responsibilities :

- Interact with stakeholders regarding data landscape understanding, conducting discovery exercise, develop proof of concepts and demonstrate it to stakeholders.

- Engage with the sales team and clients early in the project lifecycle - the engagement may be planned for presales or discovery workshops as per the requirements.

- Design the data solution including Delta lake, ELT/ETL, Data Models, Data Quality Management, DataOps Practices and Data Governance and guide the implementation team. Ensure code reviews, talent upskilling (if needed) and best practices implementation.

- Apply best practices during design in data modelling (logical, physical) and ETL pipelines (streaming and batch) using cloud-based services.

Technical Skills :

- Has more than 4 Years of experience in developing data lakes, data warehouse on Azure.

- Proven skill sets in Azure Data Lake services such as - ADLS, Azure data Factory, Synapse, SQL Server, SSIS, Databricks/Apache Spark, DevOps using terraform and skills in Python

- Must have good understanding of Data Modeling, Data Quality, DevOps and Data Governance practices, system architectures, design patterns should be able to design and develop applications using these principles.

- Familiarity with data warehousing concepts and technologies.

- Excellent communication and interpersonal skills.

- Ability to work collaboratively in a fast-paced, dynamic environment.

Personality Traits :

- Good collaboration and communication skills

- Excellent problem-solving skills to be able to structure the right analytical solutions.

- Strong sense of teamwork, ownership, and accountability

- Analytical and conceptual thinking

- Ability to work in a fast-paced environment with tight schedules.

- Good presentation skills with the ability to convey complex ideas to peers and management.

Education/Qualification :

- MBA/BE/MCA/MS .


Functional Areas: Software/Testing/Networking

Read full job description

Prepare for Data Architect roles with real interview advice

Top Exponentia.ai Data Architect Interview Questions

Q1. How to do parallel processing in Talend with examples?
Q2. how your data migration experience will be helpful in bringing revenue for the company
Q3. On which Talend version u are working ?
View all 7 questions

What people at Exponentia.ai are saying

Data Architect salary at Exponentia.ai

reported by 4 employees with 7-11 years exp.
₹13.1 L/yr - ₹21.6 L/yr
27% less than the average Data Architect Salary in India
View more details

What Exponentia.ai employees are saying about work life

based on 118 employees
73%
88%
68%
95%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Exponentia.ai Benefits

Submitted by Company
Job Training
Health Insurance
Flexible Leave Policy
Learning and Development Benefit Programs
Financial and Retirement Benefit Programs
Soft Skill Training +3 more
Submitted by Employees
Health Insurance
Work From Home
Team Outings
Soft Skill Training
Job Training
Cafeteria +6 more
View more benefits

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Exponentia.ai Mumbai Office Location

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Mumbai, Maharashtra Office
Headquarter
1207 DS Business Galleria, LBS Road, Kanjurmarg, Mumbai Maharashtra Mumbai, Maharashtra
400078

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