ProArch

Information Technology and Services

TechnicalLead-DataEngineer

₹25–45L ~AI est. Remote CONTRACT Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Technical Lead - Data Engineer at ProArch. Skills: Microsoft Fabric, Data Engineering, Data Modeling, Client Engagement. Design data pipelines. Implement data pipelines”

Industry & Context.

Information Technology and Services
Problems you'll solve

Analytical; Problem-solving; Debugging; Performance tuning; Problem-solving

What They're Looking For.

Must Have

5-10 years Data Engineering, 2+ years Microsoft Fabric, Client-facing roles US stakeholders

Nice to Have

Direct Lake / Real-time intelligence, API integrations, Microsoft Azure / Fabric / Power BI certifications, Healthcare, Retail, Finance experience, AI/ML integration within Fabric, Consulting or delivery-led environments, Agile delivery models

What You'll Do.

Design data pipelines

Implement data pipelines

Build data architectures

Develop ETL/ELT pipelines

Integrate data from sources

Design semantic models

Build optimized data models

Enable Direct Lake scenarios

Optimize reporting performance

Ensure high-performing dashboards

Ensure high-performing reports

Interface with US stakeholders

Understand business requirements

Understand reporting needs

Participate in requirement gathering

Participate in solution walkthroughs

Participate in design discussions

Translate business requirements

Provide status updates

Provide technical insights

Define data architectures

Implement data architectures

Ensure data governance

Ensure security best practices

Optimize pipeline performance

Optimize storage performance

Collaborate with architects

Collaborate with cross-functional teams

How You'll Work.

Team & Collaboration

Cross-functional teams; Global delivery teams

Communication Scope

Client-facing communication; Requirement gathering; Solution walkthroughs; Design discussions; Status updates; Demos; Technical insights

Process & Methodology

Agile delivery models

Full Job Description

1\. Role Overview We are seeking a highly skilled Microsoft Fabric Data Engineer with strong expertise in building scalable data platforms and engaging directly with US-based clients. The ideal candidate will play a key role in designing, developing, and optimizing enterprise-grade data solutions, with a focus on data modeling, reporting optimization, and modern analytics architectures. This role requires a blend of technical depth, business understanding, and client-facing communication skills. **Key Responsibilities** **Data Engineering & Platform Development** * Design and implement end-to-end data pipelines using Microsoft Fabric (Data Factory, Lakehouse, Notebooks) * Build scalable data architectures leveraging medallion (Bronze/Silver/Gold) patterns and lakehouse models [GSL MS Fab...ument V1.3 | Word] * Develop robust and optimized ETL/ELT pipelines for structured and semi-structured data * Integrate data from multiple enterprise sources (SQL Server, APIs, cloud platforms) * **Data Modeling & Reporting** * Design and develop semantic models and data models for reporting and analytics [ImpactNOW Proposal | PowerPoint] * Build optimized data models (facts, dimensions, relationships) for Power BI reporting * Enable Direct Lake / real-time analytics scenarios and reporting performance optimization * Work closely with BI teams to ensure high-performing dashboards and reports **Client Engagement (US Clients)** * Interface directly with US stakeholders to understand business requirements and reporting needs * Participate in requirement gathering, solution walkthroughs, and design discussions * Translate business requirements into scalable technical solutions * Provide regular status updates, demos, and technical insights to client teams * **Architecture & Best Practices** * Define and implement Fabric-based data architectures aligned with enterprise standards * Ensure data governance, data quality, and security best practices * Optimize performance, scalability, and

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