Databricks Architect

Digital Links Inc; Kansas City (MO); Presencial; USD 120.000 - 190.000; Jornada completa

Descripción de la vacante

Digital Links Inc in Kansas City, MO is seeking a Senior Data Architect to design and implement Databricks-based data platforms. You will help shape lakehouse architectures, oversee deployments, and collaborate with data engineers, analysts, and business stakeholders.

Ideal candidates have 10+ years in data architecture, 3+ years with Databricks, and strong Python, PySpark, and SQL skills, plus experience with Delta Lake, Unity Catalog, Spark and multiple cloud platforms.

Formación

• 10+ years in data architecture, data engineering, data warehousing, or related disciplines.
• 3+ years hands-on Databricks experience designing and implementing enterprise solutions.
• Led at least one end-to-end Databricks implementation from architecture to production deployment.
• Strong understanding of Databricks Lakehouse, Delta Lake, Unity Catalog and Apache Spark.
• Proficient in Python, PySpark and SQL.
• Experience designing scalable ETL/ELT pipelines and data integration.
• Experience with Azure, AWS, or Google Cloud Platform (GCP).
• Experience with cloud-based data storage, data warehouses, and distributed processing.
• Strong data modeling, governance, security, and performance optimization.
• Experience migrating legacy data platforms to cloud architectures.
• Ability to develop architecture diagrams, technical documentation, and roadmaps.
• Strong communication to collaborate with technical teams and stakeholders.

Conocimientos

Databricks

Python

PySpark

SQL

ETL/ELT design

on-cloud platforms (Azure/AWS/GCP)

Data modeling

Governance & security

Architecture diagrams

Communication

Educación

Databricks Certified Data Engineer Professional

Herramientas

Terraform

Descripción del empleo

• 10+ years of experience in data architecture, data engineering, data warehousing, or related technical disciplines.
• 3+ years of hands‑on Databricks experience designing and implementing enterprise solutions.
• Proven experience leading at least one end‑to‑end Databricks implementation, from architecture and initial setup through production deployment.
• Strong understanding of Databricks Lakehouse architecture, Delta Lake, Unity Catalog, and Apache Spark.
• Advanced proficiency in Python, PySpark, and SQL.
• Experience designing and implementing scalable ETL/ELT pipelines and data integration solutions.
• Strong experience with at least one major cloud platform: Azure, AWS, or Google Cloud Platform (GCP).
• Experience with cloud‑based data storage, data warehouses, and distributed processing technologies.
• Strong understanding of data modeling, governance, security, and performance optimization.
• Experience migrating or modernizing legacy data platforms into cloud‑based architectures.
• Ability to develop architecture diagrams, technical documentation, and implementation roadmaps.
• Strong communication skills and the ability to collaborate with technical teams and business stakeholders.

Senior Data Architect Databricks

Location: Kansas City, MO

Duration: Long-Term

Required Qualifications

• 10+ years of experience in data architecture, data engineering, data warehousing, or related technical disciplines.
• 3+ years of hands‑on Databricks experience designing and implementing enterprise solutions.
• Proven experience leading at least one end‑to‑end Databricks implementation, from architecture and initial setup through production deployment.
• Strong understanding of Databricks Lakehouse architecture, Delta Lake, Unity Catalog, and Apache Spark.
• Advanced proficiency in Python, PySpark, and SQL.
• Experience designing and implementing scalable ETL/ELT pipelines and data integration solutions.
• Strong experience with at least one major cloud platform: Azure, AWS, or Google Cloud Platform (GCP).
• Experience with cloud‑based data storage, data warehouses, and distributed processing technologies.
• Strong understanding of data modeling, governance, security, and performance optimization.
• Experience migrating or modernizing legacy data platforms into cloud‑based architectures.
• Ability to develop architecture diagrams, technical documentation, and implementation roadmaps.
• Strong communication skills and the ability to collaborate with technical teams and business stakeholders.

Preferred Qualifications

• Databricks Certified Data Engineer Professional or Associate.
• Relevant advanced Databricks architecture certifications, where available.
• Experience implementing Databricks across multiple enterprise environments.
• Experience with Azure Data Factory, Azure Data Lake Storage, AWS Glue, Amazon S3, or similar cloud services.
• Experience with Terraform, Infrastructure as Code (IaC), and automated deployment pipelines.
• Familiarity with dbt, Airflow, or other orchestration and transformation technologies.
• Experience integrating Databricks with Power BI, Tableau, or other analytics platforms.
• Understanding of streaming data architectures and real‑time processing.
• Experience supporting machine learning, AI, or advanced analytics workloads.
• Experience with enterprise data platform modernization initiatives.