Vista Applied Solutions Group Inc
Overview
10+ years of experience in enterprise data architecture and engineering.
Proven expertise in SQL Server, Databricks, Azure Data Lake, Synapse, and Purview.
Strong proficiency in Python, Spark, and semantic modeling tools.
Hands-on experience with OWL, RDF, SPARQL, or equivalent technologies.
Deep understanding of data lineage, data catalogs, and knowledge graph development.
Experience designing scalable data systems for analytics, AI, and operational workflows. Preferred Skills
Certifications in cloud architecture (Azure, AWS), data modeling, or semantic technologies. Experience in regulated industries such as AgTech, FoodTech, Pharma and Healthcare. Exposure to controlled vocabularies, taxonomies, and linked data ecosystems. Background in high-growth SaaS environments or transformation-stage enterprises. Experience with agentic AI frameworks, vector databases, and semantic telemetry. Qualifications
10+ years of experience in enterprise data architecture and engineering. Proven expertise in SQL Server, Databricks, Azure Data Lake, Synapse, and Purview. Strong proficiency in Python, Spark, and semantic modeling tools. Hands-on experience with OWL, RDF, SPARQL, or equivalent technologies. Deep understanding of data lineage, data catalogs, and knowledge graph development. Experience designing scalable data systems for analytics, AI, and operational workflows. Seniority level
Not Applicable Employment type
Full-time Job function
Information Technology Industries
IT Services and IT Consulting
#J-18808-Ljbffr
10+ years of experience in enterprise data architecture and engineering.
Proven expertise in SQL Server, Databricks, Azure Data Lake, Synapse, and Purview.
Strong proficiency in Python, Spark, and semantic modeling tools.
Hands-on experience with OWL, RDF, SPARQL, or equivalent technologies.
Deep understanding of data lineage, data catalogs, and knowledge graph development.
Experience designing scalable data systems for analytics, AI, and operational workflows. Preferred Skills
Certifications in cloud architecture (Azure, AWS), data modeling, or semantic technologies. Experience in regulated industries such as AgTech, FoodTech, Pharma and Healthcare. Exposure to controlled vocabularies, taxonomies, and linked data ecosystems. Background in high-growth SaaS environments or transformation-stage enterprises. Experience with agentic AI frameworks, vector databases, and semantic telemetry. Qualifications
10+ years of experience in enterprise data architecture and engineering. Proven expertise in SQL Server, Databricks, Azure Data Lake, Synapse, and Purview. Strong proficiency in Python, Spark, and semantic modeling tools. Hands-on experience with OWL, RDF, SPARQL, or equivalent technologies. Deep understanding of data lineage, data catalogs, and knowledge graph development. Experience designing scalable data systems for analytics, AI, and operational workflows. Seniority level
Not Applicable Employment type
Full-time Job function
Information Technology Industries
IT Services and IT Consulting
#J-18808-Ljbffr