Overview
On Site
$DOE
Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Skills
Azure Cloud
DevSecOps
FinOps
Job Details
Job Title: Principal Solutions Architect Data Platform & Cloud Engineering
Location: Utilities Baltimore, MD - Remote (CST/EST only)
Type: Contract-to-Hire
Overview
Constellation is seeking a Principal Solutions Architect with a strong data engineering background who has grown into data architecture and cloud solutions architecture. This role focuses on building scalable, secure, cloud-native Azure data platforms with strong capabilities in Synapse, Databricks, observability, DevSecOps, and FinOps.
Must-Have Skills
- Background as a Data Engineer Data Architect Cloud Solutions Architect
- Azure Cloud (Azure Data Factory, Synapse, Databricks, ADF, ADLS, Azure DevOps)
- DataBricks & Azure Synapse architecture
- Strong experience with observability solutions (monitoring, logging, dashboards, alerting)
- DevSecOps: CI/CD, IaC, automation, GitHub Actions/Azure DevOps, secrets mgmt, vulnerability scanning
- FinOps: cloud cost optimization, usage analysis, Azure Cost Management
- Deep expertise in:
- Data modeling (OLTP/OLAP), ETL/ELT pipelines
- Data Lakes, Data Mart, DataMesh, DataHub
- Big Data: Spark, Kafka, Hadoop
- SQL/NoSQL databases
- Strong understanding of data governance, security, IAM, key management, encryption
- Experience designing enterprise-scale, cloud-native data architectures
- Experience leading platform engineering or DevOps within data platforms
- Experience with Terraform / ARM templates / IaC
- Master's degree
- Azure Architect / DevOps / FinOps certifications
- SRE knowledge in data platform environments
Minimum Qualifications
- Bachelor's in CS, IS, Data Science, or related
- 10+ years in IT, 5+ years Data Architecture/Engineering
- Hands-on Azure Data Services: Synapse, Databricks, ADF, ADLS
- Proficiency with Spark, Kafka, Hadoop, SQL/NoSQL
- Strong knowledge of cybersecurity & cloud data security practices
- Experience with data profiling, cataloging, and data dictionaries
- Hands-on with data modeling tools (Erwin, Power Designer, etc.)
- Experience leading cloud automation, DevOps, and platform engineering
- Strong Azure cloud architecture understanding
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