IT Senior Technology Architect | Data Management Data Integration | Informatica
Job Location:
Job Location:
San Diego, CA - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
4 hours ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
POC: Sam Chavez
ATTENTION ALL SUPPLIERS!!!
READ BEFORE SUBMITTING
UPDATED CONTACT NUMBER and EMAIL ID is a MANDATORY REQUEST from our client for all the submissions
Limited to 1 submission per supplier. Please submit your best.
We prioritize endorsing those with complete and accurate information
Avoid submitting duplicate profiles. We will Reject/Disqualify immediately.
Make sure that candidates interview schedules are updated. Please inform the candidate to keep their lines open.
Please submit profiles within the max proposed rate.
Please make sure to TAG the profiles correctly if the candidate has WORKED FOR INFOSYS as a SUBCON or FTE.
MANDATORY: Please include in the resume the candidate s complete & updated contact information (Phone number Email address and Skype ID) as well as a set of 5 interview timeslots over a 72-hour period after submitting the profile when the hiring managers could potentially reach to them. PROFILES WITHOUT THE REQUIRED DETAILS and TIME SLOTS will be REJECTED.
Job Title: Senior Technology Architect Data Management - Data Integration Informatica -- Data Analyst
Work Location & Reporting Address: San Diego CA 92121 (Onsite-Hybrid. Will consider candidates willing to relocate to client s location)
Contract duration: 6
MAX VENDOR RATE: $95 per hour max
Target Start Date: 01 Jun 2026
Does this position require Visa independent candidates only Yes
Must Have Skills:
Bachelor s degree in Data Analytics Computer Science Business or a related field.
5 years of experience in data analysis or BI roles.
Strong hands-on experience with:
Databricks (SQL notebooks Delta Lake)
SQL (advanced querying and data manipulation)
Experience with data visualization tools (Power BI Tableau or similar).
Solid understanding of data modeling concepts and metric development.
Proven ability to understand business processes and map them to data structures.
Strong skills in data validation quality checks and reconciliation.
Experience in exploratory data analysis and storytelling with data.
Excellent communication skills for presenting insights to non-technical stakeholders.
Nice to Have Skills:
Familiarity with AI-driven BI tools and conversational analytics platforms.
Basic knowledge of Python or PySpark for data exploration (not heavy ML focus).
Exposure to modern data architectures (lakehouse concepts).
Experience working with cloud platforms such as AWS or Azure.
Understanding of data governance and cataloging tools.
Experience enabling or working with self-service analytics environments.
Detailed Job Description:
Role Overview: We are looking for a Data Analyst with strong experience in Databricks and modern data tools who excels at translating data into meaningful business insights. This role is focused on insight generation data understanding and BI/AI-oriented analytics rather than heavy statistical modeling or advanced machine learning.
The ideal candidate will have a strong grasp of business processes data dependencies and data lifecycle and be capable of developing accurate reliable metrics and intuitive visualizations along with supporting conversational and self-service analytics experiences.
Key Responsibilities
Analyze data to derive actionable business insights and support decision-making.
Work with Databricks (SQL Notebooks Delta Tables) to explore transform and validate data.
Develop and maintain business metrics KPIs and features ensuring accuracy and consistency.
Design and build interactive dashboards and visualizations using BI tools (e.g. Power BI Tableau).
Understand end-to-end data flows and upstream systems to ensure data quality and integrity.
Collaborate with business stakeholders to translate requirements into analytical solutions.
Perform data profiling validation and reconciliation to ensure trustworthy outputs.
Interpret and present data insights in a clear narrative-driven manner including conversational insights.
Support AI/BI initiatives by preparing curated datasets and enabling insight generation layers.
Document data definitions transformations and lineage for transparency and governance.
Identify trends anomalies and patterns in data to proactively inform stakeholders.
Required Qualifications
Bachelor s degree in Data Analytics Computer Science Business or a related field.
5 years of experience in data analysis or BI roles.
Strong hands-on experience with:
Databricks (SQL notebooks Delta Lake)
SQL (advanced querying and data manipulation)
Experience with data visualization tools (Power BI Tableau or similar).
Solid understanding of data modeling concepts and metric development.
Proven ability to understand business processes and map them to data structures.
Strong skills in data validation quality checks and reconciliation.
Experience in exploratory data analysis and storytelling with data.
Excellent communication skills for presenting insights to non-technical stakeholders.
Preferred Qualifications
Familiarity with AI-driven BI tools and conversational analytics platforms.
Basic knowledge of Python or PySpark for data exploration (not heavy ML focus).
Exposure to modern data architectures (lakehouse concepts).
Experience working with cloud platforms such as AWS or Azure.
Understanding of data governance and cataloging tools.
Experience enabling or working with self-service analytics environments.
Key Skills
Data Analysis & Insight Generation
Databricks & SQL
BI Tools & Data Visualization
Business Process Understanding
Data Quality & Metric Validation
Data Storytelling & Communication
Conversational Analytics
Data Modeling Fundamentals
Minimum Years of Experience:
5 years
Certifications Needed:
None
Top 3 responsibilities you would expect the Subcon to shoulder and execute:
Interview Process (Is face to face required)
Virtual
Any additional information you would like to share about the project specs/nature of work: Project Code :Code extension for QULFPDNA
ATTENTION ALL SUPPLIERS!!!
READ BEFORE SUBMITTING
UPDATED CONTACT NUMBER and EMAIL ID is a MANDATORY REQUEST from our client for all the submissions
Limited to 1 submission per supplier. Please submit your best.
We prioritize endorsing those with complete and accurate information
Avoid submitting duplicate profiles. We will Reject/Disqualify immediately.
Make sure that candidates interview schedules are updated. Please inform the candidate to keep their lines open.
Please submit profiles within the max proposed rate.
Please make sure to TAG the profiles correctly if the candidate has WORKED FOR INFOSYS as a SUBCON or FTE.
MANDATORY: Please include in the resume the candidate s complete & updated contact information (Phone number Email address and Skype ID) as well as a set of 5 interview timeslots over a 72-hour period after submitting the profile when the hiring managers could potentially reach to them. PROFILES WITHOUT THE REQUIRED DETAILS and TIME SLOTS will be REJECTED.
Job Title: Senior Technology Architect Data Management - Data Integration Informatica -- Data Analyst
Work Location & Reporting Address: San Diego CA 92121 (Onsite-Hybrid. Will consider candidates willing to relocate to client s location)
Contract duration: 6
MAX VENDOR RATE: $95 per hour max
Target Start Date: 01 Jun 2026
Does this position require Visa independent candidates only Yes
Must Have Skills:
Bachelor s degree in Data Analytics Computer Science Business or a related field.
5 years of experience in data analysis or BI roles.
Strong hands-on experience with:
Databricks (SQL notebooks Delta Lake)
SQL (advanced querying and data manipulation)
Experience with data visualization tools (Power BI Tableau or similar).
Solid understanding of data modeling concepts and metric development.
Proven ability to understand business processes and map them to data structures.
Strong skills in data validation quality checks and reconciliation.
Experience in exploratory data analysis and storytelling with data.
Excellent communication skills for presenting insights to non-technical stakeholders.
Nice to Have Skills:
Familiarity with AI-driven BI tools and conversational analytics platforms.
Basic knowledge of Python or PySpark for data exploration (not heavy ML focus).
Exposure to modern data architectures (lakehouse concepts).
Experience working with cloud platforms such as AWS or Azure.
Understanding of data governance and cataloging tools.
Experience enabling or working with self-service analytics environments.
Detailed Job Description:
Role Overview: We are looking for a Data Analyst with strong experience in Databricks and modern data tools who excels at translating data into meaningful business insights. This role is focused on insight generation data understanding and BI/AI-oriented analytics rather than heavy statistical modeling or advanced machine learning.
The ideal candidate will have a strong grasp of business processes data dependencies and data lifecycle and be capable of developing accurate reliable metrics and intuitive visualizations along with supporting conversational and self-service analytics experiences.
Key Responsibilities
Analyze data to derive actionable business insights and support decision-making.
Work with Databricks (SQL Notebooks Delta Tables) to explore transform and validate data.
Develop and maintain business metrics KPIs and features ensuring accuracy and consistency.
Design and build interactive dashboards and visualizations using BI tools (e.g. Power BI Tableau).
Understand end-to-end data flows and upstream systems to ensure data quality and integrity.
Collaborate with business stakeholders to translate requirements into analytical solutions.
Perform data profiling validation and reconciliation to ensure trustworthy outputs.
Interpret and present data insights in a clear narrative-driven manner including conversational insights.
Support AI/BI initiatives by preparing curated datasets and enabling insight generation layers.
Document data definitions transformations and lineage for transparency and governance.
Identify trends anomalies and patterns in data to proactively inform stakeholders.
Required Qualifications
Bachelor s degree in Data Analytics Computer Science Business or a related field.
5 years of experience in data analysis or BI roles.
Strong hands-on experience with:
Databricks (SQL notebooks Delta Lake)
SQL (advanced querying and data manipulation)
Experience with data visualization tools (Power BI Tableau or similar).
Solid understanding of data modeling concepts and metric development.
Proven ability to understand business processes and map them to data structures.
Strong skills in data validation quality checks and reconciliation.
Experience in exploratory data analysis and storytelling with data.
Excellent communication skills for presenting insights to non-technical stakeholders.
Preferred Qualifications
Familiarity with AI-driven BI tools and conversational analytics platforms.
Basic knowledge of Python or PySpark for data exploration (not heavy ML focus).
Exposure to modern data architectures (lakehouse concepts).
Experience working with cloud platforms such as AWS or Azure.
Understanding of data governance and cataloging tools.
Experience enabling or working with self-service analytics environments.
Key Skills
Data Analysis & Insight Generation
Databricks & SQL
BI Tools & Data Visualization
Business Process Understanding
Data Quality & Metric Validation
Data Storytelling & Communication
Conversational Analytics
Data Modeling Fundamentals
Minimum Years of Experience:
5 years
Certifications Needed:
None
Top 3 responsibilities you would expect the Subcon to shoulder and execute:
Interview Process (Is face to face required)
Virtual
Any additional information you would like to share about the project specs/nature of work: Project Code :Code extension for QULFPDNA
