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

Intetics; Montenegro; Presencial; BRL 721 000 - 978 000; Tempo integral

Resumo da oferta

Intetics Inc., a leading American technology company specializing in custom software development, distributed professional teams, and all-digital solutions, is looking for a Senior Data Architect to join its innovative team.

You will own enterprise-scale Azure data platform architectures, design modern data environments, and deliver implementation-ready solutions while guiding data governance, quality, and scalable ingestion frameworks.

Qualificações

• 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

Responsabilidades

• 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

Conhecimentos

Azure Synapse

Azure Data Factory

Azure Data Lake

Azure SQL

Cosmos DB

Databricks

Data Engineering

Data Warehousing

ETL/ELT

Data Modeling

Incremental Processing

Cloud Data Platforms

SQL

Python

Structured data

Unstructured data

Communication

Stakeholder management

Ferramentas

Databricks

Descrição da oferta de emprego

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

• Strong expertise with: Azure Synapse Analytics, Azure Data Factory (ADF),Azure Data Lake Storage (ADLS),Azure SQL / SQL Server, Azure Cosmos DB, Databricks

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

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

• 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

• 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