# Senior Data Architect - Azure

> ZainTECH · Kochi, India · Full-time · Posted 2026-10-15

**Workplace:** on_site

**Department:** Technology & Delivery

## Description

The Senior Data Architect is responsible for designing and delivering enterprise-scale cloud data architectures aligned with business objectives and regulatory requirements.

This role leads data architecture initiatives across pre-sales and delivery, covering data modelling, integration, governance, and cloud data platforms. It also enables AI/ML and Generative AI solutions by building scalable, secure, and high-performance data foundations while providing technical leadership and architectural guidance to engineering teams and clients.

Responsibilities:

-   Define target-state data architectures, including data lakehouse, data warehouse, streaming, and Master Data Management (MDM) solutions.
-   Lead architecture workstreams across pre-sales and delivery, including discovery workshops, current-state assessments, solution blueprints, and effort estimation.
-   Design conceptual, logical, and physical data models and integration patterns for batch, micro-batch, and real-time data pipelines.
-   Establish and implement data governance frameworks covering data quality, lineage, cataloguing, security, and access control.
-   Guide engineering teams on implementation standards, architecture reviews, code reviews, and data platform performance optimization.
-   Design data foundations for AI/ML and Generative AI use cases, including feature stores, vector databases, and Retrieval-Augmented Generation (RAG)-ready data pipelines.
-   Act as a trusted technical advisor to client Chief Data Officers (CDOs), heads of data, and enterprise architects.
-   Present and justify architecture decisions to technical and executive stakeholders.
-   Develop reusable accelerators, reference architectures, and data practice standards.

_Our Culture & Code of Conduct:_

_At ZainTECH, we take pride in a culture built on collaboration, innovation, and uncompromising integrity. We are looking for individuals who share these values and are committed to customer-centricity and ethical excellence. All employees are expected to uphold our Code of Conduct, which serves as a guiding framework for responsible behavior across everything we do — from ho we work with each other to how we engage with clients and partners globally._

## Requirements

-   8+ years of experience in data engineering or data platform roles, including at least 4 years as a Data Architect on enterprise-scale programmes.
-   Proven experience designing and delivering end-to-end cloud data platforms covering ingestion, storage, transformation, serving, and consumption.
-   Strong expertise in data modelling methodologies, including Kimball/dimensional modelling, Data Vault, and Third Normal Form (3NF).
-   Advanced SQL skills and experience with distributed data processing technologies such as Apache Spark.
-   Experience with modern lakehouse table formats, including Delta Lake, Apache Iceberg, or Apache Hudi.
-   Strong understanding of data governance, security, and privacy practices, including RBAC, encryption, masking, personally identifiable information (PII) handling, and regulatory compliance.
-   Proficiency in Python for data engineering and automation, with an understanding of CI/CD and infrastructure-as-code concepts.
-   Experience with streaming technologies such as Apache Kafka, Azure Event Hubs, or equivalent platforms.
-   Excellent English communication skills, with the ability to translate business requirements into technical architectures and justify design decisions.
-   Consulting or client-facing delivery experience, preferably across multiple industries.

-   Hands-on experience with Microsoft Fabric and/or Azure Synapse Analytics.
-   Experience with Azure Databricks, including Unity Catalog, Delta Live Tables, and workspace administration.
-   Knowledge of Azure Data Factory or Microsoft Fabric Data Pipelines for orchestration and integration.
-   Experience designing Azure Data Lake Storage Gen2 architectures and data zones, including raw, curated, and consumption layers.
-   Familiarity with Microsoft Purview for data governance, cataloguing, and lineage.
-   Experience with Azure SQL, Cosmos DB, Azure Event Hubs, and Stream Analytics.
-   Exposure to Azure AI services, including Azure OpenAI, Azure AI Search, vector search, and Azure Machine Learning.
-   Knowledge of Azure landing-zone and platform design, including networking, private endpoints, Microsoft Entra ID, Key Vault, and cost management.
-   Relevant Microsoft certifications, such as DP-600, DP-203, or AZ-305.
-   Experience with the Cloudera platform, including CDP, Cloudera Data Engineering, HDFS, Hive, Impala, NiFi, and Ranger, across on-premises or hybrid deployments.

## Apply

[Apply at ZainTECH](https://apply.workable.com/zaintech/j/795C35CB35/apply)

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