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

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 g