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# Senior Data Architect opening at SADA company

- **Company:** Panel Specialists, Inc.
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, BigQuery, Cloud Database, Information Systems, Continuous Delivery, Continuous Integration, Data Architecture, Data Validation, Data Cleansing, Data Conversion, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Systems, Data Warehousing, Data Flow Control, Log Analysis, Cloudera, Management of Software Versions, Data Logging, Data Import/Export, Information Technology, Graphql, Machine Learning Operations, 3-tier Architectures, Api Design, Looker Analytics, Data Pipelines, Microservices
- **Published:** October 14, 2026
- **Apply:** https://www.careerboard.com/us/en/find-jobs-in-United-States/-0B6B338BE31BB06369/

## About the Role

Experience: Minimum of 5 years of experience in data architecture, data engineering, or a similar role., * Bachelor's degree in Computer Science, Information Systems, or a related field.

 * Proven experience in designing and implementing data solutions using Google Cloud Platform (GCP) services such as BigQuery, Cloud Composer, Cloud SQL, Dataproc, and Dataflow.
 * Expertise in designing, building, and maintaining ETL pipelines using various data integration tools and frameworks.
 * Strong knowledge of ETL processes including data cleansing, data conversion, data import/export, data validation and testing.
 * Expertise in extending and customizing monitoring solutions for resource metrics, input/output metrics, and transformation stage metrics.
 * Proficient in BigQuery table archival and restore processes to optimize cost and on-demand data warehousing capabilities.
 * Hands-on experience in building data quality monitors and extending data quality reporting across various stages of data pipelines.
 * Experience in pipeline execution visualization and orchestration using Cloud Composer or alternative lightweight microservices.
 * Strong knowledge of creating reusable data transformation templates and libraries for efficient data pipeline deployment.
 * Familiarity with handling data mutations and creating streaming ingestion templates for specific customer needs.
 * Proficiency in log analytics and observability using Looker and BigQuery, with a focus on leveraging cloud logging data.
 * Experience conducting feasibility studies and working with API-based data warehouse exposure, preferably using GraphQL.
 * Solid understanding of MLOps principles, including model deployment, monitoring, versioning, and continuous integration/continuous deployment (CI/CD) of machine learning pipelines.
 * Excellent problem-solving skills, attention to detail, and ability to work both independently and collaboratively within a team.
 * Strong communication skills, with the ability to effectively convey technical concepts to both technical and non-technical stakeholders.
Strong estimation skills

## Description

* Required Travel - 10% travel to customer sites, conferences, and other related events.
Customer Facing - You will interact with customers on a regular basis, sometimes daily, other times weekly/bi-weekly.

 * Common touch points occur when qualifying potential opportunities, at project kickoff, throughout the engagement as progress is communicated, and at project close. You can expect to interact with a range of customer stakeholders, including engineers, technical project managers, and executives. You will serve as a Tier 3 on-call escalation point for our largest customers' business critical workloads.
 * On boarding/Training - The first several weeks of on boarding are dedicated to learning and will encompass learning materials/assignments and compliance training, as well as meetings with relevant individuals. Details of the timeline are shared closer to the start date.