Overview
Skills
Job Details
Job Title: Solution Architect Data Modernization
We are seeking an experienced and forward-thinking Solution Architect Data Modernization to lead the technical design and execution of next-generation data platform initiatives. This role will architect and enable scalable, cloud-native data solutions, with a strong focus on modernizing data pipelines, democratizing data access via Snowflake and Data Compass, and driving end-to-end system integration for enterprise analytics and customer-facing products.
The ideal candidate is a hands-on architect with deep technical expertise across data engineering, cloud platforms, and solution design who can guide multi-disciplinary teams toward a unified modernization vision.
Key Responsibilities:
Architectural Leadership
- Define end-to-end architecture for modern cloud-based data platforms, with a focus on Snowflake, Azure Data Factory (ADF), and Data Compass integration.
- Translate business requirements into modular, scalable, and secure data solutions.
- Establish reference architectures, patterns, and best practices for data ingestion, enrichment, storage, and consumption.
Data Platform Modernization
- Lead migration efforts from legacy ETL frameworks to modernized, automated, and metadata-driven pipelines.
- Architect normalized, governed data models supporting analytical workloads, machine learning, and operational reporting.
- Drive modernization of Azure Data Factory to maximize performance, maintainability, and cost-efficiency.
Data Enablement & Access
- Architect APIs, services, and interfaces to enable self-service data access for internal and external consumers.
- Design solutions that simplify data discoverability, search, and lineage leveraging Data Compass, Alation, or similar tools.
Required skillsets:
- 10+ years of hands-on experience in data architecture, solution design, and cloud-based data engineering
- Deep expertise in Snowflake, Azure Data Factory (ADF), Azure Synapse Analytics, and Data Compass (or similar cataloging/lineage tools)
- Proven track record of delivering large-scale data platform modernization initiatives
- Strong understanding of data modeling (3NF, Star, Snowflake schemas) and metadata management
- Hands-on experience with modern orchestration frameworks (ADF, Airflow) and automation (CI/CD for data)
- Solid experience in API architecture for data services and data democratization approaches
- Familiarity with cloud security principles, including encryption, data privacy, RBAC, and network security
- Excellent communication skills with the ability to present complex technical concepts to technical and non-technical stakeholders
- Bachelor s degree in Computer Science, Engineering, or a related field
Tools & Technologies:
- Data Warehouse/Cloud: Snowflake, Azure Synapse, AWS Redshift, Databricks
- ETL/Orchestration: Azure Data Factory (ADF), dbt, Apache Airflow
- Data Catalog/Governance: Data Compass, Alation, Azure Purview
- Development: Python, SQL, Terraform, ARM Templates
- Visualization/Reporting: Power BI, Tableau
- Collaboration & Program Management: Jira, Confluence, Miro, MS Project