Industrial Data Architect
Role - Industrial Data Arhcitect
Dallas, TX or Remote role
Job Summary:
Responsible for designing and managing scalable data architectures for digital platforms, ensuring efficient data storage, integration, governance, and security. Collaborates with stakeholders to develop data models, establish standards, and support data-driven decision-making.
Key Responsibilities:
Design and implement scalable data architectures, including data lakes, warehouses, and NoSQL databases.
Integrate data from multiple sources, ensuring consistency, accuracy, and performance.
Develop and optimize ETL pipelines for efficient data movement and transformation.
Establish data governance frameworks, security policies, and compliance measures (GDPR, HIPAA).
Collaborate with business and technical teams to align data solutions with organizational goals.
Stay updated on emerging data technologies and drive innovation in data architecture.
Support analytics and reporting by ensuring efficient data structures for querying and visualization.
Required Qualifications:
Bachelor's degree in Computer Science, Data Science, or related field.
Expertise in data modeling, databases (SQL, NoSQL), and cloud platforms (AWS, Azure, GCP).
Strong knowledge of ETL processes, data integration, and data warehousing.
Experience with big data technologies (Hadoop, Spark, Kafka).
Familiarity with BI tools (Tableau, Power BI) and data security best practices.
Preferred Qualifications:
Master’s or PhD in a relevant field.
Certifications in data management or cloud platforms.
Experience with AI/ML-driven data architectures and API-driven integrations.
Proficiency in Python, Java, or Scala.
Job Types: Full-time, Contract
Pay: $85.00 - $90.00 per hour
Schedule:
8 hour shift
Work Location: Remote
Role - Industrial Data Arhcitect
Dallas, TX or Remote role
Job Summary:
Responsible for designing and managing scalable data architectures for digital platforms, ensuring efficient data storage, integration, governance, and security. Collaborates with stakeholders to develop data models, establish standards, and support data-driven decision-making.
Key Responsibilities:
Design and implement scalable data architectures, including data lakes, warehouses, and NoSQL databases.
Integrate data from multiple sources, ensuring consistency, accuracy, and performance.
Develop and optimize ETL pipelines for efficient data movement and transformation.
Establish data governance frameworks, security policies, and compliance measures (GDPR, HIPAA).
Collaborate with business and technical teams to align data solutions with organizational goals.
Stay updated on emerging data technologies and drive innovation in data architecture.
Support analytics and reporting by ensuring efficient data structures for querying and visualization.
Required Qualifications:
Bachelor's degree in Computer Science, Data Science, or related field.
Expertise in data modeling, databases (SQL, NoSQL), and cloud platforms (AWS, Azure, GCP).
Strong knowledge of ETL processes, data integration, and data warehousing.
Experience with big data technologies (Hadoop, Spark, Kafka).
Familiarity with BI tools (Tableau, Power BI) and data security best practices.
Preferred Qualifications:
Master’s or PhD in a relevant field.
Certifications in data management or cloud platforms.
Experience with AI/ML-driven data architectures and API-driven integrations.
Proficiency in Python, Java, or Scala.
Job Types: Full-time, Contract
Pay: $85.00 - $90.00 per hour
Schedule:
8 hour shift
Work Location: Remote
