Data Architecture &

- Design

- 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 productive 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.

📌 Lead Azure Data Engineer (Hyderabad)
🏢 Brace Infotech Private
📍 Hyderabad