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Salary
≈ $28k – $52k per year (Estimated)
Location
In office (Hyderabad, Bengaluru, Pune)
Seniority
Staff · 10+ years exp

First seen by Alion on Aug 31, 2026.

Overview
Company
Impact
Profile match
Accion Labs is a technology services company headquartered in Bridgeville, near Pittsburgh, that provides product engineering, legacy modernisation, cloud, data and AI services built around its Semantic Engineering methodology for running AI agents in enterprise systems. Founded in 2011 and privately held, it has US offices in Pennsylvania, Maryland, California and Florida and delivery centres in India including Bengaluru, and offers turnkey projects, extended teams and professional staffing. Its openings include Java, Python, iOS and AS/400 developers, SAP consultants, business and system analysts, SharePoint architects, AML/KYC developers and project management office staff.
Backed by TA Associates

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.

Skills

Data Architect, Data Engineering, Data Modeling, DataLake, Medallion Architecture, ETL, Dimensional Modeling, Power BI, Azure Databricks, Microsoft Fabric

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