

VySystems
Data Architect
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect with 15+ years of experience, specializing in Databricks and AWS. It is a remote contract position requiring expertise in data analytics, Python, ETL tools, and cloud migration. Strong communication skills are essential.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
August 12, 2026
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#Automation #Databases #Databricks #Datasets #Python #PySpark #Data Architecture #SQL (Structured Query Language) #Data Integrity #Data Quality #Spark (Apache Spark) #Data Cleaning #Pandas #Cloud #Scala #Data Engineering #Data Analysis #AWS (Amazon Web Services) #Documentation #Matplotlib #"ETL (Extract #Transform #Load)" #Informatica #R
Role description
Hi #connections,
We have a Job Opening for,
Role: Cloud Solutions/ Data Architect with Databricks & AWS
Locations-----Remote
Years of Exp Needed------15+ Exp
π Interested Candidate Kindly share the suitable resume to ram.r@vysystems.com & https://www.linkedin.com/in/ramkumarjhen/
Job Description:
Senior Level Data Architect with data analytics experience, Databricks, Pyspark, Python, ETL tools like Informatica
This is a key role that requires senior/lead with great communication skills who is very proactive with risk & issue management.
Experience and Education Required
15+ years of experience as Data Analyst / Data Engineer with Databricks on AWS expertise in designing and implementing scalable, secure, and cost-efficient data solutions on AWS
Job Profile:
Hands-on data analytics experience with Databricks on AWS, Pyspark and Python
Must have prior experience with migrating a data asset to the cloud using a GenAI automation option
Experience in migrating data from on-premises to AWS
Expertise in developing data models, delivering data-driven insights for business solutions
Experience in pretraining, fine-tuning, augmenting and optimizing large language models (LLMs)
Experience in Designing and implementing database solutions, developing PySpark applications to extract, transform, and aggregate data, generating insights
Data Collection & Integration: Identify, gather, and consolidate data from diverse sources, including internal databases and spreadsheets ensuring data integrity and relevance.
Data Cleaning & Transformation: Apply thorough data quality checks, cleaning processes, and transformations using Python (Pandas) and SQL to prepare datasets.
Automation & Scalability: Develop and maintain scripts that automate repetitive data preparation tasks.
Autonomy & Proactivity: Operate with minimal supervision, demonstrating initiative in problem-solving, prioritizing tasks, and continuously improving the quality and impact of your work
Technical Skills:
15+ years of experience as a Data Analyst, Data Engineer, or related role, ideally with a bachelorβs degree or higher in a relevant field.
Strong proficiency in Python (Pandas, Scikit-learn, Matplotlib) and SQL, with experience working across various data formats and sources.
Proven ability to automate data workflows, implement code-based best practices, and maintain documentation to ensure reproducibility and scalability.
Behavioral Skills:
Ability to manage in tight circumstances, very pro-active with risk & issue management
Requirement Clarification & Communication: Interact directly with colleagues to clarify objectives, challenge assumptions.
Documentation & Best Practices: Maintain clear, concise documentation of data workflows, coding standards, and analytical methodologies to support knowledge transfer and scalability.
Collaboration & Stakeholder Engagement: Work closely with colleagues who provide data, raising questions about data validity, sharing insights, and co-creating solutions that address evolving needs.
Excellent communication skills for engaging with colleagues, clarifying requirements, and conveying analytical results in a meaningful, non-technical manner.
Demonstrated critical thinking skills, including the willingness to question assumptions, evaluate data quality, and recommend alternative approaches when necessary.
A self-directed, resourceful problem-solver who collaborates well with others while confidently managing tasks and priorities independently
Thanks & Regards.,
Ramkumar.R || Sr.Technical Recruiter
Email: ram.r@vysystems.com
Linkedin ID: https://www.linkedin.com/in/ramkumarjhen/
Hi #connections,
We have a Job Opening for,
Role: Cloud Solutions/ Data Architect with Databricks & AWS
Locations-----Remote
Years of Exp Needed------15+ Exp
π Interested Candidate Kindly share the suitable resume to ram.r@vysystems.com & https://www.linkedin.com/in/ramkumarjhen/
Job Description:
Senior Level Data Architect with data analytics experience, Databricks, Pyspark, Python, ETL tools like Informatica
This is a key role that requires senior/lead with great communication skills who is very proactive with risk & issue management.
Experience and Education Required
15+ years of experience as Data Analyst / Data Engineer with Databricks on AWS expertise in designing and implementing scalable, secure, and cost-efficient data solutions on AWS
Job Profile:
Hands-on data analytics experience with Databricks on AWS, Pyspark and Python
Must have prior experience with migrating a data asset to the cloud using a GenAI automation option
Experience in migrating data from on-premises to AWS
Expertise in developing data models, delivering data-driven insights for business solutions
Experience in pretraining, fine-tuning, augmenting and optimizing large language models (LLMs)
Experience in Designing and implementing database solutions, developing PySpark applications to extract, transform, and aggregate data, generating insights
Data Collection & Integration: Identify, gather, and consolidate data from diverse sources, including internal databases and spreadsheets ensuring data integrity and relevance.
Data Cleaning & Transformation: Apply thorough data quality checks, cleaning processes, and transformations using Python (Pandas) and SQL to prepare datasets.
Automation & Scalability: Develop and maintain scripts that automate repetitive data preparation tasks.
Autonomy & Proactivity: Operate with minimal supervision, demonstrating initiative in problem-solving, prioritizing tasks, and continuously improving the quality and impact of your work
Technical Skills:
15+ years of experience as a Data Analyst, Data Engineer, or related role, ideally with a bachelorβs degree or higher in a relevant field.
Strong proficiency in Python (Pandas, Scikit-learn, Matplotlib) and SQL, with experience working across various data formats and sources.
Proven ability to automate data workflows, implement code-based best practices, and maintain documentation to ensure reproducibility and scalability.
Behavioral Skills:
Ability to manage in tight circumstances, very pro-active with risk & issue management
Requirement Clarification & Communication: Interact directly with colleagues to clarify objectives, challenge assumptions.
Documentation & Best Practices: Maintain clear, concise documentation of data workflows, coding standards, and analytical methodologies to support knowledge transfer and scalability.
Collaboration & Stakeholder Engagement: Work closely with colleagues who provide data, raising questions about data validity, sharing insights, and co-creating solutions that address evolving needs.
Excellent communication skills for engaging with colleagues, clarifying requirements, and conveying analytical results in a meaningful, non-technical manner.
Demonstrated critical thinking skills, including the willingness to question assumptions, evaluate data quality, and recommend alternative approaches when necessary.
A self-directed, resourceful problem-solver who collaborates well with others while confidently managing tasks and priorities independently
Thanks & Regards.,
Ramkumar.R || Sr.Technical Recruiter
Email: ram.r@vysystems.com
Linkedin ID: https://www.linkedin.com/in/ramkumarjhen/






