Data Solutions Architect ( Any Cloud: AWS / Microsoft Azure / Google Cloud
Job in
Contact, Park County, Montana, USA
Listed on 2026-08-22
Listing for:
SEYA GROUP
Full Time
position Listed on 2026-08-22
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, Data Engineering
Job Description & How to Apply Below
Location: Contact
- Provide deep technical expertise and leadership across a range of cloud data technologies. You will be the go-to person for driving tool selection, resolving complex engineering issues, and guiding best practices during engagements.
- Lead the 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.
- Work closely with Principal Consultants to extract project requirements during technical discovery sessions, define deliverables to meet those requirements, and break down those deliverables into a technical roadmap.
- Lead teams of data and cloud engineers to execute project roadmaps. Provide guidance on technical tasks, priorities and technical assistance when needed.
- Manage scope within customer engagements. Identify changing requirements as they arise, determine their impact on scope, and ensure all stakeholders are aware and agree with the changes.
- Maintain a close working relationship with the customer, as a “Trusted Advisor”. Set clear expectations, challenge assumptions, solicit feedback, and take ownership of project deliverables.
- Building complex ETL code using technologies such as;
Spark, Nifi, Glue - Building real-time streaming solutions leveraging technologies such as:
Kafka, Kinesis, Pub Sub and Spark Streaming - Developing code using Python, Java and Scala languages
- Creating complex data solutions and build data pipelines
- Establishing credibility and build impactful relationships with our customers
- Maintain relevant certifications on cloud technologies and stay informed of key industry trends.
- Provide deep technical expertise and leadership across a range of cloud data technologies. You will be the go-to person for driving tool selection, resolving complex engineering issues, and guiding best practices during engagements.
- Lead the 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.
- Work closely with Principal Consultants to extract project requirements during technical discovery sessions, define deliverables to meet those requirements, and break down those deliverables into a technical roadmap.
- Lead teams of data and cloud engineers to execute project roadmaps. Provide guidance on technical tasks, priorities and technical assistance when needed.
- Manage scope within customer engagements. Identify changing requirements as they arise, determine their impact on scope, and ensure all stakeholders are aware and agree with the changes.
- Maintain a close working relationship with the customer, as a “Trusted Advisor”. Set clear expectations, challenge assumptions, solicit feedback, and take ownership of project deliverables.
- Building complex ETL code using technologies such as;
Spark, Nifi, Glue - Building real-time streaming solutions leveraging technologies such as:
Kafka, Kinesis, Pub Sub and Spark Streaming - Developing code using Python, Java and Scala languages
- Creating complex data solutions and build data pipelines
- Establishing credibility and build impactful relationships with our customers
- Maintain relevant certifications on cloud technologies and stay informed of key industry trends.
- 3+ years of experience in public cloud environments (AWS, GCP or Azure).
- 3 + years of developing code using Python, Java or Scala languages
- Experience with building complex ETL code using technologies such as:
Spark, Nifi, Glue - Experience with building real-time streaming solutions leveraging technologies such as:
Kafka, Kinesis, Pub Sub or Spark Streaming - Strong SQL skills
- Creating complex data solutions and build data pipelines
- Establishing credibility and build impactful relationships with our customers
- Strong communication skills, written and verbal
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