Senior Federated Data Platform Engineer

Ekfrazo Technologies • Informatica • 26 days ago
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Salary
≈ $21k – $43k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Senior · 8+ years exp

First seen by Alion on Sep 24, 2026.

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Ekfrazo Technologies

Ekfrazo Technologies is an IT services company based in Bengaluru that delivers enterprise AI, data engineering, ServiceNow, Salesforce and cloud automation work for large corporate clients. Operating since 2015, it runs delivery teams in Bengaluru, Hyderabad, Noida and Pune and staffs engineers into client development programs, including data platform and generative AI projects for European and North American customers. Its openings cover Azure and senior data engineers, Java, .NET and Python full stack developers, agentic AI developers, solutions architects, database administrators, QA leads and technical project and program managers.
ekfrazo.in • HQ: Bengaluru, India • Custom Software Development • IT Consulting & Digital Transformation • 1001-5000 employees • Est. 2015
Tech stack of Ekfrazo Technologies

Job Description:

Senior Federated Data Platform Engineer:

(Creates a platform, on which other business users will work)

Role Focus:

Similar to Archit - Focus on Product Based

Implement the platform capabilities that enable disparate data sources to be combined, virtualized, standardized, and exposed through a consistent access model without requiring extensive physical consolidation.

Experience with technologies and platforms such as (Any one - from each bullet point):

- Microsoft Fabric, OneLake, Synapse, Azure Data Lake, Purview

- BigQuery, BigLake, Dataplex

- Redshift Spectrum, Lake Formation, Glue

- Data virtualization, federated query, semantic layer, or data fabric platforms

Responsible For:

- Implementing data virtualization and federation capabilities

- Building federated query services

- Developing semantic and abstraction layers

- Creating reusable APIs and access services

- Performance tuning, scalability, reliability, and operational support

- Contributing to platform design and technology decisions through hands-on expertise

Skills

Data Virtualization, Microsoft Fabric, BigQuery, Redshift, Informatica, Performance Tuning, Customer Data Platform

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