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# Principal solution architect / principal data architect / solution architect for data and analytics

- **Company:** VeeRteq Solutions Inc
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Amazon S3, Business Analytics Applications, Databases, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Document-Oriented Databases, Data Streaming, Enterprise Data Management, Parquet, Data Strategy, Cloudformation, Data Lakes, Information Technology, AWS Glue, Data Analytics, AWS Data Analytics, Data Management, Stream Processing, Domain Driven Design, Serverless Computing, Amazon Redshift
- **Published:** May 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=21de4a6e442aeb88

## About the Role

Do you have experience in Real-time data processing implementation?, Must-have: Strong AWS data architecture experience, ability to act as a tech lead, solid understanding of data mesh, Glue, streaming and batch architecture, Kinesis or related stream-processing concepts, and data lake / warehouse patterns. The person should be able to assess the current environment, design a customized target architecture, and answer detailed customer questions with some implementation depth.
Nice-to-have: SageMaker familiarity in the broader AWS data ecosystem, exposure to QuickSight, broader AWS data services knowledge, and experience with manufacturing or industrial data scenarios., 10+ years in data architecture, data engineering, or analytics platforms

Experience designing data mesh or federated data architectures

Track record delivering enterprise data platforms in manufacturing or industrial contexts

Technical Skills (AWS Services, would consider competitive alternatives)

Amazon S3, Lake Formation, Glue (ETL, Catalog, Crawlers)

Amazon Redshift / Redshift Serverless

Amazon Athena, Amazon Timestream

Amazon Kinesis (Data Streams, Firehose)

Amazon DataZone (data mesh governance) / Sagemaker Unified Catalog.

AWS Glue DataBrew, AWS CloudFormation / CDK

Amazon QuickSight

Data modeling: lakehouse, Iceberg, Parquet, domain-driven design

Soft Skills

Strong communication and presentation skills

Ability to translate business data needs into technical architecture

Experience leading governance discussions with diverse stakeholders

Customer-focused mindset with consulting experience

AWS Certifications (Nice to have)

AWS Certified Solutions Architect Professional

AWS Certified Data Analytics Specialty

## Description

We are seeking a Principal Solutions Architect with deep data platform and data mesh expertise to lead the IT systems assessment, industrial data platform design, and data mesh architecture. This role involves designing the cloud-based data platform, federated governance model, and analytics layer while collaborating with us to deliver a scalable industrial data architecture., Technical Leadership & Architecture

Lead IT systems assessment including data integration patterns, APIs, and existing analytics infrastructure

Design the Industrial Data Platform architecture (data lake, warehouse, time-series databases)

Architect the Industrial Data Mesh with domain-driven ownership and federated governance

Define data products per domain including contracts, schemas, SLAs, and ownership

Design data catalog, lineage, and discoverability architecture

Develop cloud account strategy and multi-account approach for DR and HA

Customer Engagement

Lead data domain workshops to validate domain boundaries and ownership models

Present data platform architecture to customer technical and business teams

Collaborate with our IT teams to assess current data governance practices

Facilitate executive alignment workshops on data strategy

Solution Development

Design real-time and batch data processing pipelines

Implement master data management and data governance frameworks

Define self-serve data infrastructure enabling domain teams to publish and consume data products

Document data architecture decisions and implementation plans


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