What are the responsibilities and job description for the Sr.Data Engineer position at DCM Infotech Limited?
Role:Sr.Data Engineer
Location:Bellevue, WA (ONSITE)
Duration: 12 Months Contract
Position Overview
We are seeking an experienced Senior Data Engineer with deep expertise in Microsoft Fabric, Power BI, and Enterprise Data Architecture to design, build, and optimize scalable data platforms and analytical solutions. The ideal candidate will have extensive experience in data modeling for complex executive and operational dashboards, strong stakeholder management skills, and the ability to mentor junior team members while driving data strategy and best practices across the organization.
Key Responsibilities
Design and implement enterprise-scale data architecture using Microsoft Fabric and related Azure data services.
Develop and optimize Power BI semantic models, datasets, and dashboards for business-critical reporting and analytics.
Create and maintain complex dimensional and analytical data models supporting large-scale reporting environments.
Define data architecture standards, governance frameworks, and best practices for data integration, quality, security, and performance.
Collaborate with business stakeholders, data engineers, analysts, and leadership teams to understand reporting and analytics requirements.
Lead data platform modernization initiatives and drive adoption of Microsoft Fabric capabilities.
Optimize data pipelines, data warehouse architectures, and reporting performance.
Provide technical leadership, conduct architecture reviews, and mentor junior team members.
Establish data modeling standards and ensure consistency across enterprise reporting solutions.
Support Agile development processes and participate in solution planning and estimation activities.
Required Qualifications 10 years of experience in Data Architecture, Data Warehousing, Business Intelligence, or related fields. Hands-on expertise with Microsoft Fabric, including Lakehouse, Data Warehouse, Data Factory, and Real-Time Analytics components. Advanced experience with Power BI, including semantic modeling, DAX, data visualization, and performance tuning. Strong experience designing complex dimensional models (Star Schema, Snowflake Schema, Data Vault, Kimball methodologies). Expertise in SQL, data integration, ETL/ELT processes, and enterprise data warehouse design. Experience working with large-scale datasets and delivering executive-level dashboards and reporting solutions. Strong communication and stakeholder management skills.
Proven ability to mentor and guide junior team members and contribute to team growth.
Local to the Seattle area or willing to work onsite/hybrid as required.
Telecom experience (PreferredDesign and implement enterprise-scale data architecture using Microsoft Fabric and related Azure data services.
Develop and optimize Power BI semantic models, datasets, and dashboards for business-critical reporting and analytics.
Create and maintain complex dimensional and analytical data models supporting large-scale reporting environments.
Define data architecture standards, governance frameworks, and best practices for data integration, quality, security, and performance.
Collaborate with business stakeholders, data engineers, analysts, and leadership teams to understand reporting and analytics requirements.
Lead data platform modernization initiatives and drive adoption of Microsoft Fabric capabilities.
Optimize data pipelines, data warehouse architectures, and reporting performance.
Provide technical leadership, conduct architecture reviews, and mentor junior team members.
Establish data modeling standards and ensure consistency across enterprise reporting solutions.
Support Agile development processes and participate in solution planning and estimation activities.
Preferred Qualifications
Prior experience in the Telecommunications industry (wireless, broadband, network operations, customer analytics, OSS/BSS, etc.).
Experience with Azure Data Services, including Azure Synapse, Azure Data Lake, Azure SQL, and Azure DevOps.
Knowledge of data governance, master data management, and data quality frameworks.
Microsoft certifications related to Fabric, Azure Data Engineering, or Power BI are highly desirable.
Key Skills
Microsoft Fabric
Power BI
Data Modeling
Data Warehousing
SQL
Azure Data Platform
Dashboard Design & Analytics
Stakeholder Management