Data Architect leading design and implementation of cloud data platforms for digital transformation. Collaborating with stakeholders to define data strategies and governance models.
Responsibilities
Design enterprise and solution-level data architectures aligned to client business goals.
Define target-state architectures, migration roadmaps, and reference architectures across analytics, AI/ML, and operational intelligence use cases.
Architect, implement, and optimize cloud data platforms using Microsoft Fabric, Azure, Databricks, and related services.
Guide ingestion, transformation, orchestration, and semantic modeling patterns.
Define and implement governance frameworks including metadata management, lineage, data quality, security, and privacy using tools such as Microsoft Purview.
Partner with security and compliance teams to ensure regulatory alignment.
Enable advanced analytics, machine learning, and AI workloads through well-architected lakehouse, warehouse, and real-time data solutions.
Provide architectural leadership across project teams.
Mentor engineers and analysts on best practices, patterns, and emerging technologies.
Serve as a trusted advisor to clients, supporting solution envisioning, proposals, and thought leadership.
Contribute to practice development and go-to-market initiatives.
Requirements
7+ years of relevant experience in data architecture, data engineering, or analytics platform design.
10 Years of experience preferred.
Bachelor’s degree required; relevant experience may be considered in lieu of degree.
Preferred fields: Computer Science, Information Systems, Engineering, Data Science, or related disciplines.
Technical Skill Concentrations:
Microsoft Fabric (OneLake, Data Engineering, Data Warehousing, medallion architecture (bronze/silver/gold), Real-Time Analytics)
Microsoft Azure (Foundry, Copilot Studio, Azure Data Factory, Synapse, Azure SQL, Event Hubs, Functions)
Microsoft Purview (data catalog, lineage, governance)
Databricks (Lakehouse architecture, Spark, Delta Lake, Unity Catalog)
Senior Data Engineer building reliable data infrastructure for AI - powered health experiences. Collaborating on data pipelines and ensuring data quality in a hybrid work environment.
Manager overseeing HR technology and data architecture operations enabling HR strategy effectiveness at Healthfirst. Leading a team of analysts for data integrity and operational support across systems.
Distinguished Data Engineer in data pipelines driving innovation in AWS. A hands - on technical leader delivering next - gen data solutions across Capital One's lines of business.
Product Manager for Capital One enhancing financial experiences and optimizing product development with technology. Collaborating with cross - functional teams and leading initiatives for the Core Data Platform Services.
Sr. Lead Data Engineer at Capital One responsible for delivering data solutions and mentoring teams. Engage in collaborative Agile practices and drive powerful experiences for financial empowerment.
Senior Data Engineer at EDO building data pipelines for advertising effectiveness measurement. Collaborating with Data Scientists using AWS, Airflow, DBT, and Snowflake on large data sets.
Data Engineer transforming data into actionable insights at InnoWave. Designing data pipelines and collaborating between technical teams and business stakeholders in Lisbon.
Data Engineer developing and maintaining infrastructure for analytics at Waitwhile. Responsible for data lifecycle management, API availability, and AI operationalization.
Data Engineer supporting, developing, and maintaining a data analytics platform with agile delivery. Working with business and IT teams to leverage data technologies effectively.
Data Engineer at Domes Resorts responsible for designing data pipelines and supporting analytics. Join E - Commerce, Intelligence & Innovation team to drive business growth through data solutions.