[Hiring] Reporting and Analytics Engineer @Synthlane Technologies Private Limited

Role Description

This is a remote position.

We are looking for a highly skilled Reporting and Analytics Engineer with strong expertise in Microsoft Power BI and a good understanding of modern data architecture paradigms, including Data Fabric and Data Products. This role requires a thinker who can design scalable, business-aligned data ecosystems while also enabling advanced analytics and self-service BI capabilities.

The ideal candidate will have hands-on experience with:

• Power BI
• ADF (Azure Data Factory)
• Snowflake
• DataOps
• Emerging platforms such as Promethium (or AI-enabled analytical platform)

Candidates must be comfortable working in UK shifts and supporting UK business hours as required.

Qualifications

• Proficiency in SQL and at least one programming language (Python preferred)
• Experience with ETL/ELT tools and data integration frameworks
• Experience with Microsoft Azure data services (Azure Synapse, Data Factory, Fabric)
• Knowledge of real-time and streaming architectures
• Certifications in Power BI, Azure, or Snowflake
• Experience integrating AI/ML workloads into analytics platforms

Requirements

• Lead the design and development of enterprise BI solutions using Microsoft Power BI and the mentioned technologies.
• Build scalable semantic models, datasets, and dashboards aligned with business KPIs.
• Optimize report performance and implement best practices for data visualization and usability.
• Architect solutions leveraging Data Fabric principles to unify data access across distributed environments.
• Define and operationalize Data Products, ensuring ownership, discoverability, and reusability.
• Define and implement enterprise scale data analytics and platforms aligned with business goals.
• Develop and maintain logical and physical data models (data warehouse, lakehouse, and data fabric architectures).
• Architect and integrate solutions using Snowflake as a core data platform.
• Collaborate with engineering teams to design ELT/ETL pipelines and data ingestion frameworks.
• Ensure high availability, scalability, and performance of data systems.
• Evaluate and implement modern analytics tools such as Promethium for accelerated data access and insights.
• Stay current with evolving technologies in analytics, AI/ML integration, and data platform innovation.
• Establish data governance frameworks, including data quality, lineage, cataloging, and metadata management.
• Ensure compliance with security standards and regulatory requirements.
• Promote best practices in data stewardship and lifecycle management.
• Collaborate with business leaders, analysts, and engineers to translate requirements into architectural solutions.
• Act as a trusted advisor on data strategy and analytics enablement.
• Provide technical leadership and mentorship to data teams.
• Experience enabling self-service analytics and data democratization.
• Familiarity with Promethium or similar modern analytics/query acceleration platforms.
• Exposure to data cataloging and governance tools.

Benefits

• Strategic thinking and architectural vision
• Strong problem-solving and analytical skills
• Excellent communication and stakeholder management
• Ability to bridge business and technical teams
• Leadership and mentoring capabilities

Required Skills

• Power BI
• Microsoft Fabric
• Data Fabric
• DAX
• Power Query
• Semantic Models
• Data Modeling
• Dashboard Development
• KPI Reporting
• SQL
• Python
• ETL
• ELT
• Data Integration
• Data Warehousing
• Lakehouse Architecture
• Snowflake
• Azure Data Factory
• Azure Synapse Analytics
• Microsoft Azure
• Data Analytics
• Business Intelligence
• Self-Service Analytics