Senior Cloud Data Architect: Snowflake/Databricks (Remote)

Harvey Nash Group; United States; Hybrid; USD 180,000 - 250,000; Full time

Job summary

A leading consulting firm is looking for a skilled Cloud Data Architect with expertise in Snowflake and Databricks. This role involves leading a team to design cloud-native data platforms, focusing on the financial services sector. Candidates should have over 10 years of experience in data engineering, strong technical leadership skills, and knowledge of cloud platforms. This full-time position allows for remote work, requiring limited onsite travel. Excellent communication skills are essential for this role.

Qualifications

• 10–12+ years of data engineering/data architecture experience, including 3+ years in technical leadership.
• Expertise in Snowflake, Databricks, or both.
• Experience architecting large-scale, cloud-native data platforms.
• Proven experience architecting large-scale cloud-native data platforms.

Responsibilities

• Define enterprise-level cloud data architecture emphasizing Snowflake or Databricks.
• Lead data centralization strategies across workloads.
• Provide thought leadership on cloud modernization and governance.
• Build, optimize, and oversee ETL/ELT pipelines.

Skills

Snowflake

Databricks

Python

SQL

Spark

Kafka

MLOps

AI-ready architectures

Tools

AWS

Azure

GCP

Scala

Java

Job description

A leading consulting firm is looking for a skilled Cloud Data Architect with expertise in Snowflake and Databricks. This role involves leading a team to design cloud-native data platforms, focusing on the financial services sector. Candidates should have over 10 years of experience in data engineering, strong technical leadership skills, and knowledge of cloud platforms. This full-time position allows for remote work, requiring limited onsite travel. Excellent communication skills are essential for this role.