Blue Coding · 12 hours ago
Data Architect (N)
United States
Full-time
Remote
Mid Level
3+ years expBlue Coding specializes in hiring excellent developers and has been supporting companies in the United States and Canada for over 11 years. They are seeking an experienced Data Architect to design and operate data integrations for a B2B SaaS client focused on healthcare technology, working closely with a senior architect and contributing to architectural standards and best practices.
FinanceMedicalProfessional ServicesRetailSoftwareWeb Development
Responsibilities
Design and implement end-to-end data integrations from files and source systems into analytical and operational data stores
Evaluate and recommend tooling, frameworks, and platforms for ingestion, transformation, and orchestration
Set up, build, and maintain ELT/ETL pipelines primarily using AWS services, with optional use of Microsoft tooling when appropriate
Develop ingestion patterns for structured and semi-structured data (JSON, CSV, Parquet, Avro), including CDC and streaming integrations
Create and manage data models, staging layers, and integration structures that support analytics and downstream applications
Implement orchestration, scheduling, retries, and error handling to ensure scalable, stable, and cost-efficient pipelines
Partner with stakeholders to define data requirements, SLAs, and integration contracts
Design and implement monitoring, alerting, and observability, including metrics, logging, tracing, lineage, and data-quality controls
Apply data governance practices: metadata management, access controls, retention, and auditability
Support CI/CD pipelines for data workloads and contribute to Infrastructure-as-Code when relevant
Troubleshoot production issues and drive root-cause analyses with clear follow-through
Qualification
Required
3+ years of experience building and supporting production data pipelines in a Data Warehouse environment
Deep understanding of Data Warehouse modeling (facts/dimensions, SCD Type 2, relational modeling, and performance tuning)
Strong experience with AWS data services, ideally including S3, IAM, Lambda, Glue, Athena, Redshift, RDS/DMS, Kinesis, Step Functions, and CloudWatch
Proficiency in SQL and a strong understanding of analytical and relational database concepts
Knowledge of modern storage formats and patterns (delta tables, data lakes)
Proficiency in at least one programming language used for data engineering (Python preferred; C# also welcome)
Practical knowledge of batch, streaming, and CDC integration patterns
Comfort with Git-based workflows, automated deployments, and CI/CD
Experience building monitoring and observability for pipelines (metrics, alerts, logging, lineage, quality checks)
Preferred
Experience with Microsoft data platforms (Azure Data Factory, SQL Server, Synapse, Microsoft Fabric, Azure SQL). (Nice to have.)
Experience with Databricks
Familiarity with event-driven architectures (SNS/SQS, EventBridge, Kafka equivalents)
Experience with Microsoft Fabric Lakehouse/Warehouse or Synapse
Understanding of security and compliance for sensitive data (PII/PHI)
Experience with data catalog, lineage, or observability tools
Infrastructure-as-Code experience (Terraform, CloudFormation)
Familiarity with BI/reporting tools such as Power BI or Tableau
Benefits
100% Remote
Integration into a high-performing international engineering team
Opportunity to shape data integration standards and contribute to architectural decisions
Work on meaningful technology that impacts real people’s well-being
Company
Blue Coding
Top notch developers, ready to deploy.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
David Hemmat
Founder and CEO
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