Data Platform Architect

Intento Analytics LLC
United States
3 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Data Analysis Microsoft Azure Cloud Database Databases Continuous Integration Data Architecture Information Engineering Data Governance Data Infrastructure Data Integration Extract Transform Load (ETL)
+24 more
Data Systems Software Design Patterns Disaster Recovery Python (Programming Language) PostgreSQL Microsoft SQL Server Oracle (Applications) Cloud Services Azure Data Lake Salesforce.Com SQL Databases Systems Integration Enterprise Data Management Google Cloud System Availability Snowflake Apigee Microsoft Fabric Information Technology Data Management Machine Learning Operations Data Pipelines Servicenow Databricks

Job description

  • Define and maintain enterprise data platform strategy, architecture standards, and design patterns.
  • Architect scalable, secure, and cost-efficient cloud data platforms.
  • Lead data engineering teams in implementing ETL/ELT pipelines and data integration solutions.
  • Establish data governance, security, compliance, disaster recovery, and platform reliability standards.
  • Enable analytics, reporting, and AI/ML workloads through modern data architectures.
  • Evaluate emerging data technologies and drive AI-powered data engineering automation.

Requirements

  • 7+ years of database engineering experience, including 3+ years in database architecture.
  • Enterprise data platform architecture across Azure and Google Cloud (Google Cloud Platform).
  • Strong expertise in Snowflake, SQL, Python, and Matillion.
  • Experience with Azure Data Lake (ADLS), Microsoft Fabric, Databricks, SQL Server, PostgreSQL, and Oracle.
  • Data modeling, ETL/ELT orchestration, data governance, and cloud data integration.
  • Knowledge of infrastructure as code, CI/CD, observability, security, and AI/ML data platforms.
  • Excellent communication, technical documentation, and stakeholder management skills.
  • Bachelor’s degree in IT, Computer Science, Data Science, or a related field, or equivalent experience.

Preferred Qualifications

  • Master’s degree in a related field.
  • Healthcare payer domain experience, including claims, eligibility, members, and providers.
  • Apigee API integration experience.
  • Integration experience with Salesforce, FACETS, and ServiceNow.

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