Lead Azure Data Engineer

Brace Infotech Private Limited; Hyderabad; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Brace Infotech Private Limited seeks a tech leader to drive the end-to-end design of scalable data platforms using Microsoft Fabric, Synapse Analytics, and ADF. You will shape data models, warehouse architectures, and governance to support manufacturing analytics and enable enterprise BI with Power BI.

You will collaborate with data engineers, BI developers, and business stakeholders to implement ELT/ETL patterns, optimize SQL and PySpark workloads, and mentor teams across data pipelines,

Qualifications

• Experience leading end-to-end data platform design and governance.
• Strong expertise in SQL, PySpark, and data lakehouse technologies.
• Proven ability to mentor teams and guide senior stakeholders.
• Excellent communication with data engineers, BI developers, and business stakeholders.

Responsibilities

• Lead the end-to-end design of data platforms using Azure ecosystem.
• Define data models, warehouse/lakehouse designs, and normalization strategies.
• Establish ingestion pipelines and governance across data sources.
• Drive adoption of best practices in SQL, PySpark, and Synapse workloads.
• Mentor teams and provide performance tuning guidance.

Skills

Technical leadership

Stakeholder communication

Mentoring and team leadership

Strategic thinking

Problem solving

Tools

Databricks

Power BI

Azure Synapse Analytics

Azure Data Factory (ADF)

SQL

Job description

• Lead the end-to-end and design of data platforms using Microsoft Fabric, Synapse Analytics, and ADF.
• Define and implement data models, warehouse/lakehouse designs, and normalization strategies to support manufacturinganalytics.
• Establish data integration patterns, ingestion pipelines, and governance frameworks across structured, semi-structured, and unstructured data sources.
• Drive adoption of best practices in SQL, PySpark, and data lakehouse technologies.
• Should have working experience in Databricks

Technical Leadership & Guidance

• Partner with data engineers, BI developers, and business stakeholders to translate manufacturing requirements into scalable data solutions.
• Lead the team and provide reviews, performance tuning, and optimization guidance across SQL, PySpark, and Synapse workloads.
• Mentor and guide teams in building efficient pipelines, ELT/ETL frameworks, and reusable components.
• Establish standards for security, compliance, metadata management, and lineage tracking.

Analytics & Reporting Enablement

• Lead & Design enterprise BI solutions in Power BI, ensuring performance, usability, and self-service capabilities.
• Define semantic models and KPIs relevant to the manufacturing domain (OEE, downtime, yield, energy efficiency, carbon footprint, cost tracking, etc.).
• Collaborate with business teams to operationalize advanced analytics, predictive maintenance, and digital twin use cases.

Manufacturing Domain Expertise

• Leverage deep knowledge of manufacturing processes, MES/ERP integration, IoT/sensor data, supply chain, and production metrics.
• Map data flows across shop-floor systems, quality systems, energy/fuel consumption, and sustainability reporting.
• Good understanding of how data architecture can drive efficiency, reduce downtime, and optimize operations.

Preferred qualifications:

• Knowledge of data governance, MDM, and data quality frameworks.
• Familiarity with cloud-native architecture (Azure ecosystem) and DevOps/DataOps practices.
• Strong communication skills to Lead the team and handle senior business and IT stakeholders.