Technical Architect

Catalyst Brands India

Technical Architect leading data and analytics platform design and governance for Catalyst Brands. Collaborating with cross-functional teams to deliver high-quality data solutions.

Posted 5/9/2026full-timeDallas • Texas • 🇺🇸 United StatesSeniorLead💰 $103,500 - $172,500 per yearWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSCloudDockerKafkaKubernetesPySparkPythonSparkSQLTableau

About the role

Key responsibilities & impact

Lead, build and deliver projects with high impact and cross-portfolio scope, complexity and collaboration with cross-functional teams, both business and technology
Identify technical implementation options and issues
Play a key role in setting the vision and defining the future Technology architecture
Develop roadmaps of the systems, platforms and/or processes for the company across our Data and Analytics portfolio
Provide technical leadership and coaching to other engineers and architects across the organization
Act as expert and point of contact in cross-portfolio business/technology/domain/architecture area
Partner and communicate cross-functionally across the enterprise
Provide the highest level of expertise for the specification, design, development, implementation, and support of Analytical solutions (e.g., Spark, Python, AWS Services, Snowflake, Tableau)
Foster the continuous evolution of best practices within the development team to ensure data quality, standardization, optimization, and consistency
Drive adoption of DevOps/DataOps practices including CI/CD, automated testing, infrastructure as code, and monitoring

Requirements

What you’ll need

10+ years of professional experience in Data Platform Architecture
Strong programming skills in PySpark
Experience with tools like Apache Airflow, DBT, GitLab, CI/CD pipelines, Docker, and Kubernetes
Deep expertise in cloud data platforms such as AWS (Redshift, Glue, S3, EMR)
Strong hands-on experience with modern data technologies (Snowflake, Spark, Kafka, Airflow, dbt, etc.)
Advanced proficiency in SQL and programming languages such as PySpark, Python
Strong understanding of dimensional modeling, data warehousing concepts, data lakes/lakehouse architectures, and real-time streaming architectures
Experience implementing data governance, metadata management, master data management (MDM), and data quality frameworks
Familiarity with BI and analytics tools (Strategy, Tableau, Looker, etc.) and supporting semantic layer design
Excellent communication and stakeholder management skills; ability to articulate complex technical solutions to both technical and non-technical audiences

Benefits

Comp & perks

medical/dental/vision
term life insurance
paid vacation/holidays
401(k) Savings Plan with company match
associate discount on Catalyst Brands merchandise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data Platform ArchitecturePySparkSQLPythondimensional modelingdata warehousingdata lakesreal-time streaming architecturesdata governancemetadata management

Soft Skills

technical leadershipcoachingcommunicationstakeholder managementcollaborationarticulating complex solutions