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This one is closed. We stopped seeing it on Intetics’s board 5 h ago. 62 other openings there are still up.
Posted 1 mo agoFirst seen 23 d ago
1155 Senior Data Architect (Azure / Databricks / Cosmos DB)
What the posting is about
Design and own enterprise-scale data platform architectures on Azure. Modernize and optimize complex data environments. Collaborate with teams to translate requirements into scalable solutions. Establish best practices for data governance and architecture standards.
Read out of the posting
Levelsenior
Experience asked4+ years
EmploymentFull time
LocationAlbania
RemoteYes
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-09-08
Found viaworkable, direct from their system
We saw it 1 month after it went up.
The posting, as the company wrote it
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.
Copied from Intetics’s own board, not rewritten.
Also open at Intetics
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