Reporting and Analytics Engineer (Power BI, Data Fabric & Modern Analytics)

Carbon Data Solutions; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Remote work

Job summary

Carbon Data Solutions is seeking a highly skilled Reporting and Analytics Engineer for a remote role. You will design enterprise BI solutions with Power BI, build semantic models, and optimize dashboards to drive KPIs with Data Fabric and Data Products concepts.

You will work with Snowflake as core platform, craft ELT/ETL pipelines, and ensure scalable, governance-driven data ecosystems across distributed environments.

Qualifications

• Experience with Power BI and semantic data models.
• Proficiency with SQL and at least one programming language (Python preferred).
• Experience with ETL/ELT and data integration frameworks.
• Ability to design scalable, enterprise-grade data architectures.
• Experience with Data Fabric/Data Products concepts.
• Experience with Azure data services is a plus.

Responsibilities

• Lead the design and development of enterprise BI solutions using 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 with ownership, discoverability, and reusability.
• Collaborate with engineering to design ELT/ETL pipelines and data ingestion frameworks.
• Ensure high availability, scalability, and performance of data systems.
• Stay current with evolving analytics, AI/ML integration, and data platform innovations.
• Establish data governance frameworks including data quality, lineage, cataloging, and metadata management.
• Provide technical leadership and mentorship to data teams.

Skills

Power BI

DAX

Power Query

Microsoft Fabric

Data Fabric

Data Products

Azure Data Factory

ADF

Snowflake

SQL

DataOps

ETL

ELT

Data Integration

Data Pipelines

Data Modeling

Semantic Models

Dimensional Modeling

Data Warehousing

Lakehouse Architecture

Data Visualization

Dashboard Development

KPI Reporting

Self-Service BI

Business Intelligence

Data Analytics

Report Performance Optimization

Data Governance

Data Quality

Data Lineage

Metadata Management

Data Catalog

AI-Enabled Analytics

Modern Analytics Platforms

Stakeholder Management

Requirements Gathering

Solution Architecture

Data Architecture

Tools

Promethium

Azure Synapse

Job description

This is a remote position.

Role Overview

We are looking for a highly skilled Reporting and Analytics Engineer with strong expertise in Microsoft Power BI and 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, and familiarity with emerging platforms such as Promethium (or AI enabled anlytical platform), and a deep understanding of modern analytical concepts that drive enterprise-wide insights. Candidates must be comfortable working in UK shifts and supporting UK business hours as required.

Requirements

Key Responsibilities

Business Intelligence & Visualization

• 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.

Modern Data Concepts (Data Fabric & Data Products)

• Architect solutions leveraging Data Fabric principles to unify data access across distributed environments.
• Define and operationalize Data Products, ensuring ownership, discoverability, and reusability.
• Proficiency in SQL and at least one programming language (Python preferred)
• Experience with ETL/ELT tools and data integration frameworks

Data Architecture & Strategy

• 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).

Cloud Data Platforms & Engineering

• 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.

Emerging Technologies & Tools

• 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.

Data Governance & Security

• 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.

Stakeholder Engagement

• 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

Data Engineering & Integration

• Proficiency in SQL and at least one programming language (Python preferred)
• Experience with ETL/ELT tools and data integration frameworks

Emerging Tools

• Familiarity with Promethium or similar modern analytics/query acceleration platforms
• Exposure to data cataloging and governance tools

Preferred Qualifications

• 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

Key Competencies

• 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, DAX, Power Query, Microsoft Fabric, Data Fabric, Data Products, Azure Data Factory, ADF, Snowflake, SQL, DataOps, ETL, ELT, Data Integration, Data Pipelines, Data Modeling, Semantic Models, Dimensional Modeling, Data Warehousing, Lakehouse Architecture, Data Visualization, Dashboard Development, KPI Reporting, Self-Service BI, Business Intelligence, Data Analytics, Report Performance Optimization, Data Governance, Data Quality, Data Lineage, Metadata Management, Data Catalog, Microsoft Azure, Promethium, AI-Enabled Analytics, Modern Analytics Platforms, Stakeholder Management, Requirements Gathering, Solution Architecture, Data Architecture

Originally posted on Himalayas