Cloud Data Architect Lead Specialist Engineer

Job Title : Cloud Data Architect Lead Specialist Engineer

Location : Little Rock Arkansas

Experience : 12 Years

Employment Type : Contract

Interview Type : In-Person or Webcam

Job Description

The Cloud Data Architect Lead Specialist Engineer will be responsible for designing implementing and optimizing cloud-based data architecture and solutions that support enterprise data platforms. This role involves working closely with IT leadership cross-functional engineering teams and business stakeholders to define scalable data frameworks data governance strategies and modern data integration approaches. The candidate is expected to provide technical leadership and guidance drive best practices and support enterprise data transformation initiatives.

Key Responsibilities

Architect design and implement scalable cloud-based data platforms and solutions for enterprise analytics data warehousing and real-time data pipelines.

Lead the development of data architecture standards data models reference architectures and integration patterns.

Develop and maintain cloud data frameworks using modern technologies such as Azure AWS or Google Cloud.

Oversee end-to-end data lifecycle including ingestion transformation metadata management security and data quality.

Collaborate with engineering teams architects and business stakeholders to define requirements and deliver data-driven solutions.

Guide modernization efforts migrating legacy systems to cloud-native architectures.

Provide technical leadership and mentorship to data engineers and developers.

Ensure solutions meet performance scalability reliability and security requirements.

Conduct performance tuning and optimization for large-scale distributed systems.

Establish best practices for CI / CD DevOps and Infrastructure-as-Code related to data platforms.

Support data governance and compliance including data cataloging lineage and access control.

Required Qualifications

Bachelors or Masters degree in Computer Science Engineering Information Systems or related field.

Minimum 12 years of experience in data engineering data architecture or enterprise data systems.

Proven experience architecting cloud-native data platforms using AWS Azure or Google Cloud.

Strong expertise in big data and distributed processing technologies such as Spark Databricks Hadoop Kafka or Flink.

Hands-on experience with relational and NoSQL databases including SQL Server PostgreSQL MongoDB or Cassandra.

Strong proficiency in data lake data warehouse and ETL / ELT design patterns.

Experience with data modeling canonical data structures and metadata frameworks.

Strong programming and scripting skills in Python Scala or Java.

Experience with DevOps tools CI / CD pipelines Terraform CloudFormation or Kubernetes.

Deep understanding of data security compliance and governance processes.

Excellent communication leadership and stakeholder engagement skills.

Preferred Skills

Experience implementing enterprise analytics using Snowflake Redshift BigQuery or Azure Synapse.

Knowledge of AI / ML pipelines and MLOps frameworks.

Exposure to microservices and API-based integration.

Certification in AWS Azure or Google Cloud architecture.

Experience working in large-scale multi-cloud or hybrid data environments.

Background in financial services healthcare telecom or similar regulated industries.

Key Skills

Fund Management,Drafting,End User Support,Infrastructure,Airlines,Catia

Experience : years

Vacancy : 1