Position Overview
Defines target-state data architecture, data platform design, integration patterns, security model, and governance approach for analytics and operational data environments.
Key Responsibilities
- Design data lakes, data warehouses, lakehouses, data marts, streaming platforms, master-data solutions, and analytics architectures.
- Define logical and physical data models, integration patterns, data flows, metadata standards, lineage requirements, and retention strategies.
- Select cloud data services suited to mission, performance, scale, cost, security, and interoperability needs.
- Define security and privacy architecture for data platforms, including encryption, masking, tokenization, access control, data classification, DLP, and audit logging.
- Establish architecture standards for batch processing, real-time streaming, CDC, ETL/ELT, APIs, data quality, and self-service analytics.
- Develop data roadmaps, architecture diagrams, platform designs, migration plans, and governance requirements.
Minimum Qualifications
8+ years in data architecture, data engineering, data warehousing, analytics, or enterprise information management; 3+ years designing cloud-based data platforms. Experience with Azure Data Lake, Azure Synapse, Databricks, Snowflake, BigQuery, Redshift, AWS Glue, or equivalent preferred.
About This Opportunity
This is a full-time remote position supporting current and upcoming LaTronic Solutions client work. Specific client requirements, schedules, security requirements, clearances, and other project details may vary by engagement.
LaTronic Solutions is committed to a professional and inclusive workplace. Employment decisions are based on qualifications, merit, business need, and the requirements of the applicable engagement.
