Senior Data Engineer - Microsoft Fabric & Snowflake

ATCON GLOBAL; India; Presencial; INR 4.000.000 - 7.000.000; Jornada completa

Descripción de la vacante

Atcon Global seeks a Senior Data Engineer to lead the optimization of the Microsoft Fabric Medallion Architecture and prepare its transition to Snowflake, while preserving Power BI as the reporting layer. The role focuses on refactoring Fabric, strengthening data modelling, and enabling a migration‑ready platform for finance and FP&A reporting.

You will collaborate with Finance, IT, and platform teams to optimize ingestion, transformation, and business consumption, with a strong emphasis on

Formación

• 7+ years of experience in Data Engineering & Analytics with strong hands‑on expertise in Microsoft Fabric, Azure, and Power BI.
• Strong hands‑on experience with Medallion Architecture (Bronze, Silver, Gold) including Fabric Lakehouse and data pipelines.
• Finance FP&A data engineering experience covering budgeting, forecasting, actuals vs. budget, and reporting.
• Experience integrating and modelling enterprise financial data from SAP (ERP/BW/S/4HANA), Anaplan, IBM Cognos or similar.
• Expertise in Kimball dimensional modelling (star schemas, conformed dimensions, SCD Type 1/2).
• Understanding of cloud data warehousing and lakehouse architectures with Snowflake experience or ramp‑up capability.
• Experience assessing, refactoring, or migrating enterprise data platforms and managing dependencies.
• Excellent communication, proactive mindset, and ability to translate business requirements into technical solutions.

Responsabilidades

• Finance & FP&A data engineering: build reliable, business‑ready data models for planning, budgeting, forecasting, and reporting.
• Medallion Architecture: optimize Bronze, Silver, and Gold layers; ensure clear separation of ingestion, transformation, and consumption.
• Data engineering & optimization: refactor pipelines, transformations, orchestration, and data models for scalability and quality.
• Dimensional modelling: strengthen Gold layer with Kimball modelling and SCDs.
• Snowflake migration: define target architecture, roadmap, and migration blockers; phased migration plan.
• Power BI & reporting: maintain continuity and performance of semantic models and finance reporting during migration.
• Governance & DevOps: improve data governance, security, DEV/TEST/PRD environments, and CI/CD via Azure DevOps.
• Stakeholder collaboration: work with Finance, IT, and platform teams; identify risks and propose improvements.

Conocimientos

Microsoft Fabric

Azure

Power BI

Snowflake

Dimensional modelling

Medallion Architecture

Kimball modelling

Herramientas

Notebooks

Azure DevOps

Data Pipelines

Descripción del empleo

We’re looking for a Senior Data Engineer to lead the optimization of an existing Microsoft Fabric Medallion Architecture and prepare its transition to Snowflake, while keeping Power BI as the reporting and analytics layer.

The immediate priority: Refactor and strengthen the current Microsoft Fabric environment, improve data modelling and engineering practices, and make the platform migration-ready — while ensuring business-critical Finance and FP&A reporting remains stable, reliable, and performant.

What You’ll Do

• Finance & FP&A Data Engineering: Work closely with Finance stakeholders to understand business requirements, integrate enterprise financial data, and build reliable, business-ready data models supporting financial planning, budgeting, forecasting, and reporting.
• Medallion Architecture: Assess, optimize, and refactor the existing Bronze, Silver, and Gold layers in Microsoft Fabric, ensuring clear separation between ingestion, transformation, and business consumption.
• Data Engineering & Optimization: Refactor data pipelines, transformations, orchestration, and data models to improve scalability, maintainability, performance, and data quality.
• Dimensional Modelling: Strengthen the Gold layer using Kimball dimensional modelling, including star schemas, fact and dimension tables, conformed dimensions, and Slowly Changing Dimensions (SCDs).
• Snowflake Migration: Define the target architecture, identify technical dependencies and migration blockers, and develop a phased migration roadmap from Microsoft Fabric to Snowflake.
• Power BI & Reporting: Ensure continuity and performance of Power BI semantic models and business‑critical financial reporting throughout the transition.
• Governance & DevOps: Improve data governance, security, environment management (DEV/TEST/PRD), and CI/CD practices using Azure DevOps.
• Stakeholder Collaboration: Work closely with Finance, IT, and platform teams, proactively identify risks, recommend technical improvements, and guide stakeholders on data modelling best practices.

What You Bring – Mandatory Requirements

• 7+ years of experience in Data Engineering & Analytics, with strong hands‑on expertise in Microsoft Fabric, Azure, and Power BI.
• Strong hands‑on experience with Medallion Architecture (Bronze, Silver, Gold), including Microsoft Fabric Lakehouse, Data Pipelines, Notebooks, and data transformation frameworks.
• Strong Finance Data Engineering & Analytics experience, particularly with FP&A datasets, such as budgeting, forecasting, actuals vs. budget, cost allocation, financial consolidation, and management reporting.
• Experience integrating and modelling enterprise financial data from systems such as SAP (ERP/BW/S/4HANA), Anaplan, IBM Cognos or similar Finance/EPM platforms.
• Expertise in Kimball dimensional modelling, including star schemas, fact and dimension tables, conformed dimensions, and SCD Type 1/2.
• Strong understanding of cloud data warehousing and lakehouse architectures, with Snowflake experience or the ability to ramp up quickly.
• Experience assessing, refactoring, or migrating enterprise data platforms, including identifying technical debt and migration dependencies.
• Excellent communication skills, a proactive mindset, and the ability to translate business requirements into practical technical solutions.

Nice to Have: Experience working with Analytics Centers of Excellence, data governance frameworks, or enterprise data platform transformation programs.

Interested or know someone who could be a good fit?

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