Data & BI Lead

Exavalu Solutions India Pvt Ltd; Poland; Remote; PLN 350,000 - 550,000; Full time

Benefits offered by this job

Permanent remote work

Diversity & inclusion

Job summary

Exavalu Solutions India Pvt Ltd is seeking a Data & BI Lead for a permanent remote role. You will own end-to-end data platforms, data modelling, and BI engineering, delivering enterprise-scale analytics using Power BI across global stakeholders.

The ideal candidate has 10+ years in data engineering, warehousing, and BI, with hands-on expertise on Fabric, Databricks, or Snowflake, and strong Power BI capabilities for semantic modeling and dashboards.

Qualifications

• 10+ years in Data Engineering, Data Warehousing, BI, or Analytics.
• Strong hands-on data engineering on at least one platform (mandatory).
• Very strong SQL expertise (mandatory).
• Deep expertise in Data Modelling (mandatory).
• Strong Data Warehousing experience (mandatory).
• Strong Power BI experience (mandatory).
• Experience with Data governance, lineage, and security.

Responsibilities

• Lead design and implementation of scalable data platforms on Fabric, Databricks, or Snowflake.
• Build and optimize data ingestion, transformation, and ELT pipelines.
• Design and implement enterprise data models across warehouse, lakehouse and analytics layers.
• Develop and maintain Power BI datasets, semantic models, and dashboards.
• Drive query and performance optimization for SQL workloads and BI reporting.
• Establish data warehousing standards and reusable data assets.
• Collaborate with stakeholders to translate requirements into scalable analytics solutions.
• Provide technical leadership across data engineering and BI workstreams.
• Drive DevOps and CI/CD practices for data pipelines and BI deployments.

Skills

Data Engineering

Data Warehousing

BI

SQL

Python/PySpark

Power BI

Data Modeling

DAX

Tools

Microsoft Fabric

Azure Databricks

Snowflake

Power BI

Azure Data Factory

Synapse

Job description

Exavalu Solutions India Pvt Ltd | Full time

Exavalu is a US based consulting firm specialized in Digital Transformation Advisory and Digital Solution Delivery for select industries like Insurance, Healthcare and Financial Services. Our Headquarters is in California, US with multiple offices across US, Canada, and delivery centres in India. We were founded by Industry executives and Consulting principals with deep industry experience that allows us to bring advisory strength and solution expertise to clients. We’re in a hyper growth trajectory growing at over 100% year on year.

Join our diverse and inclusive team where you will feel valued and motivated to contribute with your unique skills and experience.

Exavalu offers permanent remote working model as we believe in going where the right talent is.

Job Description

This is a remote position.

Overview :

We are seeking a Data & BI Lead with 10+ years of experience across data engineering, data warehousing, and business intelligence. This role requires strong hands-on expertise in modern cloud data platforms such as Microsoft Fabric, Azure Databricks, or Snowflake, along with deep experience in Power BI for building enterprise-grade analytical solutions.

The ideal candidate will lead and deliver end-to-end data platforms and BI solutions, with equal depth in data engineering, data modelling, and BI engineering (Power BI)

Key Responsibilities:

• Lead design and implementation of scalable data platforms (lakehouse / warehouse) on Microsoft Fabric, Azure Databricks, or Snowflake
• Build and optimize data ingestion, transformation, and ELT pipelines for large-scale data processing
• Design and implement enterprise data models across:
  • Data warehouse / lakehouse layers
  • Analytical / semantic layers for reporting
• Develop and maintain Power BI datasets, semantic models, and dashboards aligned with enterprise standards
• Drive query and performance optimization across:
  • SQL workloads and data pipelines
  • BI semantic layer and reporting performance
• Establish data warehousing standards, modelling frameworks, and reusable data assets
• Ensure data quality, governance, lineage, and security across the platform
• Collaborate with stakeholders to translate business requirements into scalable data and analytics solutions
• Provide technical leadership across both data engineering and BI workstreams
• Drive DevOps and CI/CD practices for data pipelines and BI deployments

Requirements

Required Skills & Experience:

• 10+ years in Data Engineering, Data Warehousing, BI, or Analytics
• Strong hands-on expertise in data engineering on at least one platform (mandatory):
  • Microsoft Fabric (Lakehouse, Dataflows, Pipelines)
  • Azure Databricks (PySpark, Delta Lake, distributed processing)
  • Snowflake (ELT design, performance optimization, data modelling)
• Very strong SQL expertise (mandatory):
  • Complex transformations, query optimization, and performance tuning
  • Experience handling large-scale, high-volume datasets
• Deep expertise in Data Modelling (mandatory):
  • Dimensional modelling (star/snowflake schema)
  • Normalization vs denormalization strategies
  • Semantic layer design for analytics
• Strong Data Warehousing experience (mandatory):
  • Designing and implementing enterprise-grade data warehouses
  • Strong understanding of Kimball/Inmon methodologies
  • Experience with lakehouse architectures
• Strong Power BI experience (mandatory):
  • End to end development expertise
  • Building semantic models, reports, and dashboards
  • Advanced DAX and Power Query (M)
  • Performance tuning (aggregations, incremental refresh, composite models)
• Experience with:
  • Data orchestration tools (e.g., Azure Data Factory / Synapse or equivalent)
  • Python / PySpark for data processing
  • CI/CD and DevOps practices for data and analytics solutions
  • Data governance, lineage, and security (including RLS/OLS)

Good to Have:

• Exposure to AI / GenAI / Agentic AI concepts in data and analytics workflows
• Experience with Tableau

Ideal Candidate Profile:

• Strong foundation in data engineering, data modelling, and BI engineering
• Capable of designing and building both backend data platforms and frontend analytical solutions
• Comfortable working across architecture, development, and delivery
• Effective in engaging with both business stakeholders and technical teams
• Focused on scalability, performance, and long-term maintainability

Diversity Inclusion: Exavalu also promotes flexibility, adapting to the needs of employees, customers, and the business. It might be part-time work, working outside normal 9-5 business hours or working remotely. We also offer a welcome back program to help individuals return to the mainstream after a prolonged absence due to health or family reasons. At Exavalu, we are committed to building a diverse and inclusive workforce.

We welcome applications for employment from all qualified candidates, regardless of race, colour, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity or any other status protected by applicable law.

We nurture a culture that embraces all individuals and promotes diverse perspectives, where you can make an impact and grow your career