Data Architect, Azure

. Lead data architecture transformations and/or migration to modern cloud solutions, ensuring robustness and scalability of the soltuion.

Posted 5/7/2026full-timeRemote • Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tools & technologies

Amazon RedshiftAWSAzureBigQueryCloudETLJenkinsMatillionPythonSQLTableauTerraform

Key responsibilities & impact

Lead data architecture transformations and/or migration to modern cloud solutions, ensuring robustness and scalability of the soltuion.
Design and implement Virtual Cloud solutions including virtual network and management of network routings and subnets.
Design efficient, scalable ETL/ELT pipelines that streamline data processing and integration. Experience with integrating data across disparate systems using APIs and data integration tools
Design scalable, high-performance data models and databases, including Medallion Data Warehouse architecture, Data Lakehouses, dimensión modelling (Star and/or Snowflake schemas), and other relevant design patterns.
Manage one or more Data projects, owning the end-to-end execution and owning responsibilty of the outcomes
Lead cross-functional teams to deliver on client goals, providing technical guidance and ensuring alignment with best practices.
Engage with clients and stakeholders to understand business goals, provide technical expertise, and deliver tailored solutions.
Ensure all designed solutions meet the highest standards of quality, performance cost-effectiveness, and access policy management.
Stay updated with emerging industry trends and technologies, integrating them into solutions to provide added value to clients.

What you’ll need

Advanced or expert-level experience with one or more Database technologies (e.g. SQL Server) and modern data warehousing solutions (e.g., Snowflake, Databricks, Redshift, BigQuery).
Experience with integrating data across disparate systems using APIs and data integration toolsProficiency in industry leading data movement and transformation tolos such as Snaplogic, dbt, Matillion, Fivetran, Azure Data Factory, AWS Glue
Expertise in advanced analytics, including predictive modeling and statistical analysis.
Experience with BI tools (e.g., Tableau, Power BI, Looker) for data visualization and data análisis tolos (e.g. Python, R) for decision-making.
Familiarity with DevOps practices for data (e.g., DataOps) and automation tools (e.g., Jenkins, Terraform) to streamline data workflows.
Familiarity with Agile/Scrum methodologies.

Comp & perks

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Hard Skills & Tools

data architecturecloud solutionsETLELTdata modelsMedallion Data Warehousedata lakehousesSQL ServerSnowflakedata movement

Soft Skills

leadershipcross-functional team managementclient engagementtechnical guidancecommunication