Technical Architect

Overview

Technical Architect – Data 

We are seeking an experienced Technical Architect – Data to lead the design, evolution, and governance of our data and analytics platforms. This role will be part of the tean that is responsible for Data and Analytics function with Catalyst Brands. This role will serve as a technical authority and strategic partner across data engineering, analytics, and business stakeholders. The ideal candidate brings deep expertise in modern data architectures, strong hands-on technical skills, and the ability to influence architecture decisions at scale while enabling teams to deliver high-quality data solutions efficiently.

Primary Responsibilities:

•    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)
•    Explain technical solutions and issues to senior leaders in the company in non-technical, understandable terms
•    Interact with business teams to gather, interpret, and understand their business needs and create design specifications
•    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.
•    Continuously seek Data Lake platform and data ingestion improvement opportunities that ensure optimal use of the environment and improve stability.  Lead efforts to implement the solutions.

Core Competencies & Accomplishments:

•    10+ years of professional experience Data Platform Architecture, with proven experience designing enterprise-scale data ecosystems.
•    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.
•    Experience leading architectural decisions and influencing cross-functional technical direction.
•    Strong knowledge of distributed systems, performance optimization, and scalable system design.
•    Excellent communication and stakeholder management skills; ability to articulate complex technical solutions to both technical and non-technical audiences.
•    Demonstrated leadership in mentoring engineers and driving engineering best practices.
•    Familiarity of implementing AI based solutions within Data and Analytics platforms.

What you get:
We offer a competitive benefits package including medical/dental/vision, term life insurance, paid vacation/holidays, 401(k) Savings Plan with company match, and an associate discount on Catalyst Brands merchandise.

Pay Range

USD $103,500.00 - USD $172,500.00 /Yr.