Senior Data Architect

Blanc Labs

Senior Data Architect at Blanc Labs responsible for designing enterprise data architecture strategies. Leading the implementation of AI-enabled data ecosystems across modern data platforms.

Posted 7/23/2026contractRemote • 🇦🇷 ArgentinaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing enterprise data architecture strategies, including data models, ETL/ELT pipelines, and cloud-native solutions on AWS. Proficient in data governance, Master Data Management, and collaboration with data science teams to support AI/ML workloads.

Highest-signal resume keywords

Data ArchitectureETL/ELT Pipeline DevelopmentMaster Data Management (MDM)DatabricksAWS Data Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingETL/ELT DevelopmentMaster Data Management (MDM)SQLPython

Soft Skills

Analytical SkillsProblem-SolvingCommunication

Tools & Technologies

DatabricksMicrosoft FabricAWS S3AWS GlueAWS Redshift

Industry Keywords

Data GovernanceData QualityMetadata ManagementData LakesData Warehouses

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudETLPythonSQL

About the role

Key responsibilities & impact

Design and evolve enterprise data architecture strategies, including data models, data lakes, and data warehouses
Lead the design and implementation of ETL/ELT pipelines to support analytics, reporting, and AI/ML workloads
Architect and implement Master Data Management (MDM) frameworks to ensure data quality, consistency, and governance across systems
Design and build modern data platforms using Databricks and Microsoft Fabric
Architect cloud-native data solutions on AWS, ensuring scalability, security, and cost efficiency
Define data governance standards, metadata management practices, and data lineage frameworks
Collaborate with data science and AI teams to design data architectures that support machine learning, GenAI, and agentic system use cases
Partner with business and technical stakeholders to translate data requirements into scalable architectural solutions
Evaluate and recommend tools, technologies, and best practices for data integration, storage, and processing
Provide technical leadership and mentorship to data engineering teams
Troubleshoot complex data pipeline and platform issues, driving root cause analysis and long-term fixes
Drive continuous improvement in data architecture, performance, and observability

Requirements

What you’ll need

8+ years of experience in data architecture, data engineering, or related roles
Strong hands-on experience designing data models (conceptual, logical, physical) for enterprise systems
Proven experience building and optimizing ETL/ELT pipelines
Hands-on experience implementing Master Data Management (MDM) solutions
Strong expertise with Databricks for data engineering and analytics workloads
Experience with Microsoft Fabric for unified data and analytics solutions
Solid experience with AWS data services (e.g., S3, Glue, Redshift, RDS, Lake Formation)
Understanding of AI/ML data requirements, including feature engineering and data preparation for GenAI and LLM-based systems
Strong knowledge of data governance, data quality, and metadata management practices
Proficiency in SQL and familiarity with Python or other data engineering languages
Strong analytical and problem-solving skills, with the ability to communicate technical concepts to non-technical stakeholders.

Benefits

Comp & perks

Accommodations within reason due to a disability or medical need are available on request for candidates taking part in the recruitment process