1155 Senior Data Architect (Azure / Databricks / Cosmos DB)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 22h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 7d ago
The date the source published, not the day we noticed it (2026-09-08). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Serbia, Albania, Bosnia and Herzegovina, Kosovo, Montenegro, North Macedonia
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $174.8k–242.2k/yr
Middle 50% of 14 listings that do state pay — Engineering · Senior · Eastern Europe · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 7d ago · last seen 1h ago
The listing
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.