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BI Lead Azure Fabric & Power BI || Santa Clara, CA ( Onsite) at Santa Clara, California, USA
Email: [email protected]
Greetings from ICONIC Infosys Inc !!

ICONIC Infosys Inc  is an IT Development
& IT Staffing firm with more than a decade of experience in providing IT
Staffing Solutions & Services. Our expertise is in sourcing and deploying
highly skilled IT Specialists into mainstream and niche technologies to meet

Role: BI Lead Azure Fabric
& Power BI

Location: Santa Clara, CA (
Onsite)

Duration: Long term

Job Description

We are
seeking a highly skilled BI Lead with expertise in Microsoft
Fabric, Power BI, and Azure Data Services to drive the business
intelligence strategy and data analytics initiatives. The ideal candidate will
be responsible for designing, developing, and implementing enterprise
BI solutions while ensuring data integrity, security, and performance.
Oracle ERP/Fusion reporting experience is a must.

Key Responsibilities:

Lead the BI strategy and implementation
 using
Microsoft Fabric, Power BI, and Azure Data Services.

Design and develop end-to-end BI solutions,
including data modeling, data pipelines, and visualization dashboards.

Collaborate with business stakeholders, data engineers,
and analysts to understand reporting needs and translate them into
scalable solutions.

Implement and manage Azure Synapse, Data Factory, Data
Lake, and Fabric Data Warehouse for data processing and
transformation.

Develop and optimize Power BI reports, dashboards, and
paginated reports with a focus on usability and performance.

Ensure data governance, security, and compliance in
BI solutions by implementing best practices.

Guide and mentor the BI team, ensuring efficient
development and deployment of reports and analytics solutions.

Monitor and improve BI system performance, ensuring
high availability and reliability.

Work with DevOps and cloud engineering teams to implement CI/CD
pipelines for BI deployments.

Exposure to Oracle OTBI, BIP reporting and Oracle Fusion
Reporting.

Required
Skills & Qualifications:

8+ years of experience
 in
Business Intelligence, Data Analytics, and Data Warehousing.

Strong experience with Microsoft Fabric, Power BI, and
Azure Data Services (Data Factory, Synapse, Data Lake, Dataverse, etc.).

Expertise in DAX, SQL, and Power Query (M language) for
Power BI development.

Hands-on experience with data modeling techniques (Star
Schema, Snowflake, etc.) and performance optimization in BI solutions.

Experience in designing and implementing ETL/ELT pipelines for
structured and unstructured data.

Knowledge of Azure Machine Learning, AI, and Cognitive
Services is a plus.

Experience with role-based access control (RBAC),
row-level security (RLS), and data privacy policies in BI
environments.

Strong problem-solving, analytical, and communication skills.

Ability to lead and mentor a team while managing
multiple projects.

Preferred
Qualifications:

Microsoft Certified: Power BI Data Analyst Associate or Azure
Data Engineer certification.

Experience in Agile methodologies and working
in DevOps CI/CD environments

Please provide the below details for submission along with Visa
copy & Photo ID copy, I94/Passport#

Candidate Details

Candidate Full Name 
(As per SSN)

Current location (City
and State)

Open for relocation to
work location (Yes/No)

Contact/Phone #

E-mail Address

Visa Type Visa Validity
(Month & Year) /Work Authorization  

Date of Birth (Month &
Year Only)

Passport Number

Bachelors details (University
/College & Passing year)

Masters details (University/College
& Passing year)

Total IT experience
(Years)

Onsite [USA/Canada]
Experience (Years)

LinkedIn Profile

--

Thanks & Regards,
Naren
Email:[email protected]

--

To post to this group, send email to [email protected].

Keywords: continuous integration continuous deployment artificial intelligence business intelligence information technology California Idaho
BI Lead Azure Fabric & Power BI || Santa Clara, CA ( Onsite)
[email protected]
[email protected]
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09:21 PM 13-Feb-25


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Location: Santa Clara, California