Cloud Data Architect: AWS/Azure/GCP Solutions Lead

SEYA GROUP; Contact (MT); On-site; USD 110,000 - 160,000; Full time

Job summary

SEYA GROUP in Montana seeks a hands-on data platform leader to design and build scalable cloud data solutions. You will direct ETL pipelines, real-time streaming, and data architectures to meet client requirements.

You will mentor engineers, lead technical discovery sessions, and work with customers as a trusted advisor to deliver high-impact outcomes using Spark, Kafka, Kinesis, Python, Java, and Scala.

Qualifications

• 3+ years in public cloud environments (AWS, GCP or Azure).
• 3+ years coding in Python, Java or Scala.
• Experience building complex ETL with Spark, Nifi, Glue.
• Experience building real-time streaming with Kafka, Kinesis, Pub/Sub or Spark Streaming.
• Strong SQL skills.
• Creating complex data solutions and data pipelines.
• Strong communication and client-facing skills.

Responsibilities

• Provide deep technical expertise and leadership across a range of cloud data technologies.
• Lead design and implementation of data platforms to meet customers' business requirements.
• Lead whiteboard design sessions with internal and external team members.
• Identify and communicate technical risks as they emerge over the course of a project.
• Collaborate with Principal Consultants to extract project requirements and define a technical roadmap.
• Lead teams of data and cloud engineers to execute project roadmaps.
• Manage scope within customer engagements and align stakeholders on changes.
• Maintain a trusted advisor relationship with customers and deliver high-impact outcomes.
• Build complex ETL and streaming solutions with Spark, Kafka, and related tools.
• Stay updated with cloud tech certifications and industry trends.

Skills

Cloud data tech

ETL frameworks

Spark

Nifi

Glue

Kafka

Kinesis

Pub Sub

Spark Streaming

Python

Java

Scala

Data pipelines

Stakeholder mgmt

Job description

SEYA GROUP in Montana seeks a hands-on data platform leader to design and build scalable cloud data solutions. You will direct ETL pipelines, real-time streaming, and data architectures to meet client requirements.

You will mentor engineers, lead technical discovery sessions, and work with customers as a trusted advisor to deliver high-impact outcomes using Spark, Kafka, Kinesis, Python, Java, and Scala.