Principal Engineer

Catalyst Brands India

Principal Data Engineer at Catalyst Brands responsible for data architecture and analytics platform design. Leading data solutions and mentoring engineering teams for enterprise-scale ecosystems.

Posted 5/23/2026full-timeDallas • Texas • 🇺🇸 United StatesLead💰 $103,500 - $172,500 per yearWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSCloudDistributed SystemsDockerKafkaKubernetesPySparkPythonSparkSQLTableau

About the role

Key responsibilities & impact

Lead the architecture, design, and implementation of scalable, secure, and high-performance data and analytics platforms across cloud and hybrid environments.
Define and drive data engineering standards, best practices, and governance frameworks for data ingestion, transformation, modeling, and consumption.
Partner with Product, Business, Analytics, and Platform teams to translate business requirements into robust data solutions and enterprise data models.
Architect and oversee development of batch and real-time data pipelines using modern data stack technologies.
Ensure data quality, reliability, observability, lineage, and governance across all data assets.
Perform code reviews and provide technical leadership and mentorship to data engineers; establish engineering excellence and code quality standards.
Evaluate and implement emerging technologies to enhance analytics capabilities, performance, and scalability.
Optimize data platforms for cost, performance, and maintainability.
Drive adoption of DevOps/DataOps practices including CI/CD, automated testing, infrastructure as code, and monitoring.
Ensure compliance with enterprise data governance, privacy, and regulatory requirements (e.g., GDPR, CCPA, PCI where applicable).
Develop and maintain architectural documentation, data flow diagrams, and technical standards.

Requirements

What you’ll need

10–15+ years of experience in Data Engineering, Analytics Engineering, or Data Platform Architecture, with proven experience designing enterprise-scale data ecosystems.
Strong programming skills in PySpark.
Experience with tools like, Trino, Iceberg/Hudi, 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, Sigma, 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.

Benefits

Comp & perks

Medical/dental/vision insurance starting on day one
Term life insurance
Paid vacation/holidays
401(k) Savings Plan with company match
Associate discount on merchandise across all Catalyst Brands

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data EngineeringAnalytics EngineeringData Platform ArchitecturePySparkSQLDimensional ModelingData WarehousingData LakesReal-time Streaming ArchitecturesData Governance

Soft Skills

Technical LeadershipMentorshipCommunicationStakeholder ManagementCross-functional CollaborationProblem SolvingInfluencing Technical DirectionEstablishing Best PracticesArticulating Technical SolutionsDriving Engineering Excellence