Required Skills

Data Architect

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 5th Apr 2024

JOB DETAIL

Overall 15 Years experience in IT Industry

Minimum 3 years of experience as Architect on Analytics Solutions

Minimum 8 years experience in Data Cloud Programs

Experience in architecting data ingestion and ETL frameworks capable of processing structured un semi – structured data set in batch

Experience in performing Design Development and deployment using Azure Services – ADF Azure Data Lake Databricks Python etc

Develop and maintain Scalable Architecture database design and data pipelines

Design and Develop the data lake data warehouse using Databricks Azure Cloud Services

Work with business and application stakeholders to implement data strategies build data flows and develop Data Models

Provide technical guidance mentoring and code review design level technical best practices

Job Summary

We are looking for a highly experienced and motivated Data ETL Architect to join our team This position will be responsible for designing and implementing data architectures to power our Databricks applications The successful candidate will have a deep understanding of data modelling data warehouse design and implementation and the ability to develop and maintain data pipelines

Responsibilities

Design develop and implement data architectures for Databricks applications including data models data warehouses and ETL pipelines

Design data structures for efficient access and query performance

Develop and maintain data pipelines for effective data extraction transformation and loading

Optimize data architectures for scalability reliability and performance

Collaborate with cross functional teams to identify data requirements and design solutions

Monitor and optimize data performance in production

Develop and maintain data quality standards

Evaluate and recommend new technologies and tools to improve data architecture

Develop and maintain data security standards

Provide technical guidance and mentorship to junior team members

Qualifications

Bachelor’s degree in Computer Science Information Systems or related field

8 years’ experience in data architecture data modeling data warehousing and ETL

Expertise in Databricks and other cloud technologies

Strong understanding of data security standards

Highly organized detail oriented and able to adapt to changing priorities

Excellent written and verbal communication skills with the ability to effectively communicate with technical and non technical audiences

Ability to work independently and collaboratively in a fast paced environment

Organize and Collaborate with key stakeholders to define functional and non functional CPQ data requirements

Understand and document data transformation requirements

Finalize ETL tools if any and effort estimates

Company Information