MicroStrategy Technical Architect / Administrator at Cloud Sara Technologies · Bengaluru (Bangalore) · 12 - 15 years · ₹12L - ₹18L / yr · Raised funding · Posted 28 Sep 2026

We are seeking an experienced MicroStrategy Technical Architect / Administrator to lead our enterprise business intelligence architecture, platform administration, and modernization initiatives. The role combines deep hands-on expertise across MicroStrategy server administration, migration automation via Command Manager and Object Manager, and high-performance Intelligent Cube modeling. Crucially, this individual will play a key technical role in supporting our data modernization initiative transitioning underlying reporting stores from PostgreSQL to the Snowflake Data Cloud.

About Cloud Sara Technologies
About
We are an IT solutions and staffing company established in 2011 and headquartered in Chennai. We provide enterprise software, AI solutions, and IT staffing services, with expertise across technologies such as .NET, React, Python, Java, Oracle, and SAP.
Our offerings include AI-powered solutions, ERP, HRMS, CRM, finance and inventory management systems, along with Oracle and SAP implementation and support. We also provide dedicated developer staffing and project-based technology services to clients across India and international markets.
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🚨 Hiring: MicroStrategy Developer
We are looking for an experienced MicroStrategy Developer for a 6-month contract opportunity.
📌 Role: MicroStrategy Developer
💼 Experience: 5+ Years
📍 Location: Bangalore / Hyderabad / Mumbai / Delhi
🏢 Work Mode: Onsite
📅 Contract: 6 Months
Key Requirements:
• 5+ years of hands-on MicroStrategy experience
• Strong experience in MicroStrategy development
• Strong SQL skills
• Experience in BI reporting and dashboard development
• Experience with data warehousing and analytics
• Ability to understand business requirements and develop reporting solutions
• Experience in troubleshooting and supporting MicroStrategy applications
Interested candidates can apply with their updated resume.
Position: Technical Architect – Data Engineering
Job Summary:
- We are looking for an experienced Technical Architect to lead the design and implementation of modern cloud-based data platforms.
- The ideal candidate should have strong expertise in Azure and/or AWS, Databricks, Snowflake, modern data architecture, and large-scale data engineering.
- The candidate will work closely with business stakeholders, architects, and engineering teams to deliver scalable, secure, and high-performance data solutions.
Key Responsibilities
• Design enterprise-scale data lakehouse and data warehouse architectures.
• Define data ingestion, transformation, and serving architecture.
• Lead architecture discussions and technical governance.
• Design scalable ETL/ELT frameworks using Databricks and Snowflake.
• Define best practices for security, performance, CI/CD, and DevOps.
• Guide engineering teams on implementation.
• Collaborate with business, product, and data governance teams.
Must Have Skills :
• Azure or AWS
• Databricks
• Snowflake
• Data Lakehouse Architecture
• PySpark
• SQL
• Data Modelling
• ETL/ELT Architecture
• Performance Optimization
• CI/CD
• Terraform or Infrastructure as Code (preferred)
Preferred
• Insurance domain
• dbt
• Unity Catalog
• Delta Lake
• Iceberg
• Azure Data Factory / AWS Glue
About the Role
We are looking for an experienced Power BI Architect to lead enterprise-wide BI initiatives. This role will be responsible for designing, implementing, and governing scalable Power BI solutions across the organization. The ideal candidate will play a key role in establishing best practices, driving adoption, and owning the overall BI architecture within the Center of Excellence (CoE).
Key Responsibilities
- Lead end-to-end implementation of Power BI solutions across the enterprise
- Design scalable, secure, and high-performance BI architecture
- Act as the Power BI Architect, providing technical leadership and direction
- Own and drive BI governance, standards, and best practices within the CoE
- Collaborate with business and technology teams to translate requirements into robust BI solutions
- Define data modeling strategies, reporting frameworks, and dashboard standards
- Ensure data accuracy, consistency, and performance optimization across reports
- Support and guide development teams in Power BI implementation
- Enable enterprise-wide adoption of Power BI through training, documentation, and mentorship
- Work closely with IT/technology teams to integrate Power BI with data platforms and enterprise systems
Required Skills & Qualifications
- 10+ years of experience in BI/Data Analytics, with strong focus on Power BI
- Proven experience in enterprise-wide Power BI implementation
- Strong expertise in:
- Power BI (Desktop, Service, Gateway, Dataflows)
- Data Modeling (Star Schema, Snowflake Schema)
- DAX, Power Query (M language)
- Experience in designing and implementing BI architecture at scale
- Strong understanding of data warehousing concepts and ETL processes
- Experience working within a Center of Excellence (CoE) model
- Excellent stakeholder management and communication skills
Preferred Skills
- Experience with Azure (Azure Synapse, Data Factory, Data Lake)
- Knowledge of DevOps practices for Power BI (CI/CD pipelines)
- Exposure to governance tools and security frameworks
- Certification in Power BI / Microsoft Data Platform

Job Title: Senior Data Engineer
Position Summary
We are seeking a highly skilled Data Engineer with strong expertise in reporting infrastructure, data modeling, and analytics platforms. This role will focus on building scalable reporting solutions, optimizing data pipelines, and enabling data-driven decision-making across the organization. The ideal candidate will have deep experience with databases, data warehousing, and complex query development. While Ruby on Rails experience is beneficial, the primary emphasis is on data engineering and reporting systems.
Key Responsibilities
- Design, develop, and maintain reporting infrastructure and data platforms.
- Build and optimize complex SQL queries, data models, and reporting datasets.
- Develop scalable ETL/ELT pipelines and data integration processes.
- Design and maintain database schemas to support analytics and reporting requirements.
- Collaborate with business stakeholders to understand reporting needs and translate them into technical solutions.
- Implement data quality, governance, and performance best practices.
- Support and enhance enterprise reporting solutions and dashboards.
- Work with large-scale datasets in cloud data warehouse environments.
- Troubleshoot reporting issues and optimize database performance.
- Partner with engineering and product teams to establish sustainable data architecture.
Must Have: Technical Skills
- PostgreSQL
- Snowflake
- Advanced SQL
- Data Modeling
- Data Warehousing
- Reporting & Analytics Infrastructure
- ETL/ELT Development
- Query Performance Tuning
Success Profile:
The ideal candidate is a data-focused engineer who enjoys working with complex datasets, designing scalable reporting solutions, and building foundational infrastructure that empowers analytics and business intelligence teams. They should be comfortable navigating databases, optimizing queries, and translating business reporting needs into robust technical implementations.
Experience Range: 5-10 years
Role Type: Individual Contributor / Senior Engineer
Primary Focus: Reporting Infrastructure, Data Engineering, Data Warehousing, and Analytics Enablement.
Job Description:
Lead regional transformation programs, driving the entire solution architecture lifecycle,
from conceptualization to execution, with a focus on agile and DevOps practices.
Accountable for leading the IT Architecture for all projects and programs, focusing on
innovative business and IT solutions in the insurance domain, such as new-age digital
platforms, cloud-native applications, AI/ML-powered decision-making, and data-driven
insights.
Preferred skills
• Demonstrated expertise in developing cloud-native, microservices-based, and API
driven insurance solutions, leveraging modern architectural patterns and emerging
technologies such as AI/ML, big data, and IoT.
• Thorough understanding of common patterns, frameworks, and reference
architectures for the Insurance domain, with a focus on digital transformation and
innovation.
• Proven experience in leading regional transformation programs, driving the adoption
of agile and DevOps practices.
• Asia regional experience is an advantage.
Qualifications
Minimum Bachelor's degree, preferably with a Master's degree in Computer Science,
Engineering, or a related discipline.
• 15+ years of IT experience, with a minimum of 7+ years in the insurance industry,
focusing on the application of emerging technologies.







