Solutions Architect

Visionary Innovative Technology Solutions LLC; Philadelphia (Philadelphia County); On-site; USD 120,000 - 170,000; Full time

Job summary

Visionary Innovative Technology Solutions LLC in the United States is seeking a senior data architect to design and manage complex data ecosystems. You will shape data architecture, build scalable data pipelines, and collaborate with analytics teams to deliver enterprise data solutions.

The role requires strong SQL, experience with data warehouses/lakes, and proficiency in cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with Spark/Databricks is a plus.

Qualifications

• Strong experience in data architecture, data engineering, and enterprise data solutions.
• Expertise in data modeling, database design, and data integration.
• Hands-on experience with ETL/ELT tools and data pipeline development.
• Experience designing data warehouses, data lakes, and lakehouse architectures.
• Strong SQL skills and knowledge of relational and non-relational databases.
• Experience with cloud data platforms such as AWS, Azure, or Google Cloud.
• Familiarity with big data technologies such as Apache Spark, Databricks, or equivalent platforms.

Skills

Data architecture

Data engineering

Enterprise data solutions

Data modeling

Database design

Data integration

ETL/ELT tools

Data pipelines

Data warehouses

Data lakes

Lakehouse architectures

SQL skills

Relational DBs

Non-relational DBs

Cloud platforms

AWS

Azure

Google Cloud

Big data technologies

Apache Spark

Databricks

Job description

• Strong experience in data architecture, data engineering, and enterprise data solutions.
• Expertise in data modeling, database design, and data integration.
• Hands-on experience with ETL/ELT tools and data pipeline development.
• Experience designing data warehouses, data lakes, and lakehouse architectures.
• Strong SQL skills and knowledge of relational and non-relational databases.
• Experience with cloud data platforms such as AWS, Azure, or Google Cloud.
• Familiarity with big data technologies such as Apache Spark, Databricks, or equivalent platforms.