Data Architect

Accion Labs; Hyderabad, Pune District, Bengaluru; Hybrid; INR 3,000,000 - 4,200,000; Full time

Job summary

Accion Labs is seeking a seasoned Data Architect to design scalable enterprise data platforms, including data lakes and Lakehouse architectures, with semantic layers for trusted analytics and AI-driven insights. Experience implementing Azure-based solutions is strongly preferred.

The role involves defining end-to-end data architecture across ingestion, storage, processing, governance, security, and consumption layers, with collaboration across BI, governance, and engineering teams to deliver

Qualifications

• 10+ years of experience in data architecture, data engineering, analytics platforms, or enterprise data solution design.
• Proven experience implementing enterprise-scale data lakes or Lakehouse platforms.
• Strong knowledge of modern data architecture patterns, including medallion architecture, data products, ELT/ETL, and governed self-service analytics.
• Hands-on expertise in data modelling, dimensional modelling, semantic modelling and metric definition.

Responsibilities

• Define end-to-end data architecture across ingestion, storage, processing, governance, security, and consumption layers.
• Design scalable data lake and Lakehouse solutions for structured, semi-structured, and unstructured data.
• Establish data modelling standards, curated data products, and business-ready analytical layers.
• Lead the design of semantic layers with consistent metrics, definitions, hierarchies, and reusable BI models.
• Partner with business, BI, governance, and engineering teams to translate requirements into scalable data solutions.
• Guide engineering teams on architecture decisions, design reviews, implementation patterns, and performance optimization.

Skills

Data architecture

Data engineering

Analytics platforms

Enterprise data solution design

Tools

Power BI datasets

Azure Analysis Services

Databricks

Microsoft Fabric

Job description

Role Overview

We are seeking a seasoned Data Architect to design and deliver modern enterprise data platforms, with strong expertise in scalable data lakes, Lakehouse architectures and semantic layers for trusted analytics, reporting and AI-driven insights. Experience implementing similar solutions on Microsoft Azure is strongly preferred.

Responsibilities

• Define end-to-end data architecture across ingestion, storage, processing, governance, security, and consumption layers.
• Design scalable data lake and Lakehouse solutions for structured, semi-structured, and unstructured data.
• Establish data modelling standards, curated data products, and business-ready analytical layers.
• Lead the design of semantic layers with consistent metrics, definitions, hierarchies, and reusable BI models.
• Partner with business, BI, governance, and engineering teams to translate requirements into scalable data solutions.
• Guide engineering teams on architecture decisions, design reviews, implementation patterns, and performance optimization.

Required Experience and Skills

• 10+ years of experience in data architecture, data engineering, analytics platforms, or enterprise data solution design.
• Proven experience implementing enterprise-scale data lakes or Lakehouse platforms.
• Strong knowledge of modern data architecture patterns, including medallion architecture, data products, ELT/ETL, and governed self-service analytics.
• Hands-on expertise in data modelling, dimensional modelling, semantic modelling and metric definition.
• Experience with semantic layers using Power BI datasets, Azure Analysis Services, Databricks, Microsoft Fabric or equivalent platforms.