# 1155 Senior Data Architect (Azure / Databricks / Cosmos DB)

**Company:** [Intetics](null/companies/gDvZSRWtedxcHZawvZWQAz.md)
**Location:** Remote
**Workplace:** remote

[Apply for this job](null/view/7e798ac2-381e-4fe6-b4ca-587b83ac4e20)

## Description

**Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is looking for a Senior Data Architect to join its innovative team.**

### About the Role

We are seeking a highly experienced **Senior Data Architect** with demonstrated ownership of enterprise-scale Azure Data Platform architectures. The ideal candidate will be responsible for designing, modernizing, and optimizing complex data environments, while defining clear architectural direction and delivering implementation-ready solutions.

This role requires a combination of strategic thinking and hands-on expertise across Azure Data Platform technologies, Databricks, data warehousing, and modern data architecture practices.

### Responsibilities

-   Design and own enterprise-scale data platform architectures on Azure.
-   Assess existing data environments and identify opportunities to improve scalability, performance, maintainability, and data quality.
-   Define and implement modern data platform architectures using Azure services and Databricks.
-   Design reusable and metadata-driven data ingestion frameworks.
-   Architect and optimize structured and unstructured data processing solutions.
-   Design and maintain scalable data models and analytical platforms.
-   Define both tactical improvements and long-term target-state architectures.
-   Create architecture documentation, technical specifications, and implementation guidelines.
-   Collaborate with engineering teams, stakeholders, and business users to translate requirements into scalable solutions.
-   Establish best practices for data governance, architecture standards, data quality, and platform reliability.
-   Support engineering teams during implementation and architecture adoption.

### Must Have

-   Proven experience as a **Data Architect** with end-to-end architecture ownership.
-   Strong hands-on experience with the **Azure Data Platform**.
-   Minimum 4 years of recent Azure experience.
-   Strong expertise with: Azure Synapse Analytics, Azure Data Factory (ADF),Azure Data Lake Storage (ADLS),Azure SQL / SQL Server, Azure Cosmos DB, Databricks
-   Strong experience with: Data Engineering, Data Warehousing, ETL/ELT architectures, Data Modeling, Incremental Processing, Cloud Data Platforms
-   Advanced SQL and Python skills.
-   Experience designing and implementing large-scale cloud data solutions.
-   Strong experience working with both structured and unstructured data.
-   Excellent communication and stakeholder management skills.

### Azure Synapse Expertise

The successful candidate should demonstrate deep knowledge of:

-   Synapse Pipelines
-   Spark Pools
-   Serverless SQL
-   Dedicated SQL Pools
-   Workload optimization and architecture design
-   Data lake integration patterns
-   Large-scale analytical platforms

### Azure Cosmos DB Expertise

Hands-on experience with:

-   Data modeling, Partition key strategy, Indexing, Scalability design, Throughput and RU optimization, Cost optimization, Consistency models, Change Feed, Distributed database architectures

### What We're Looking For

-   Strong architecture ownership and decision-making experience.
-   Experience modernizing and improving existing data platforms.
-   Ability to quickly assess complex environments and provide actionable recommendations.
-   Experience designing reusable and scalable ingestion frameworks.
-   Deep understanding of structured and unstructured data processing.
-   Strong data modeling experience for enterprise analytics platforms.
-   Ability to balance short-term business needs with long-term architectural vision.
-   Technology-neutral mindset when selecting tools and services based on requirements, scalability, performance, and cost.
-   Experience producing implementation-ready architecture deliverables.

### Nice to Have

-   Lakehouse architecture experience.
-   Experience with AI-driven analytics solutions.
-   Data governance and compliance experience.
-   Experience supporting enterprise reporting and analytics environments.
-   Knowledge of modern cloud-native architecture patterns.

### Technology Stack

-   Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, Azure SQL / SQL Server, Azure Cosmos DB, Databricks, Python, SQL, ETL/ELT, Data Warehousing, Data Modeling

### What We Offer

-   Challenging enterprise-scale projects.
-   Opportunity to drive architecture decisions and platform modernization initiatives.
-   Collaboration with international teams.
-   Long-term cooperation and professional growth opportunities.
-   Innovative and supportive work environment.