Про вакансію
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.