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  3. Sr Data Engineer

Sr Data Engineer

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Tailored Brands logo

Sr Data Engineer

Tailored Brands

Location

6380 Rogerdale Rd, Houston, TX, United States, 77072

Experience

Senior

Posted

Jul 18, 2026

Apply by

August 17, 2026

Applicants

0

Early applicantEasy applyFull-timeHybrid

Sign in to apply on web or download the app for more options.

Job Description

At Tailored Brands, we help people love the way they look and feel for their most important moments. Our Technology team loves the way they feel and thrive at work, with: • Flexible work opportunities, including remote and hybrid options • Small, empowered teams that have fun delivering real value for our customers • A culture that values a 50-year legacy while eagerly embracing the future Want to be part of this? We currently have an exciting opportunity for Sr Data Engineer to join our Tailored Technology team. This individual will assist with assessing the design, development, and maintenance of data infrastructure and pipelines within the organization. These professionals are responsible for ensuring the reliability, scalability, and efficiency of data systems, as well as optimizing data workflows for performance and usability. They often collaborate with cross-functional teams to understand data requirements, architect solutions, and implement best practices for data management, processing, and storage. They also play a crucial role in identifying opportunities for automation, streamlining processes, and implementing cutting-edge technologies to drive innovation in data-driven decision-making. Additionally, they may mentor and provide technical guidance to junior team members, participate in strategic planning, and contribute to the overall data strategy of the organization. What You’ll Do • Design, assess and support efficient, reliable data pipelines that move data across enterprise systems including Snowflake, BigQuery,Oracle, AS400, SQL Server, Salesforce and external partner platforms using API’s, AWS S3, and GCP buckets. • Enhance and scale cloud-based data warehousing and ETL capabilities to automate large-scale data ingestion and transformation across diverse data sources. • Identify opportunities to automate, optimize, and modernize existing data processes to improve performance, reliability, and productivity. • Own the solutions and designs you build, ensuring they meet operational standards, performance expectations, and long-term scalability. • Contribute to strong data operations environment by adhering to SLAs, improving data quality, and implementing monitoring and automation best practices. • Collaborate closely with data scientists, analytics teams, and business partners to deliver data solutions that support reporting, analytics, and predictive use cases. • Mentor and coach junior engineers by providing technical guidance, design feedback, and supporting production operations. • Adapt quickly to changing business priorities and data needs while meeting delivery timelines and supporting production operations. What You’ll Bring • Bachelor's or Master's degree in Computer Science,or AI Engineering, or a related field. • 8+ years of experience in a data engineering or platform role, ideally working with large, complex datasets; retail industry experience a plus. • Strong understanding of software engineering best practices, including agile development, coding standards, code reviews, testing, and operational support. • Hands-on experience designing, building, and enhancing cloud-based data warehouse and ETL/ELT solutions, including integration with Application Programming Interfaces (APIs) and external data sources. • Proven ability to develop scalable, accurate, and timely data pipelines as data volume and complexity grow. • Proficiency in engineering and automating batch and streaming data pipelines, including data mappings and transformations. • Strong experience with cloud platforms inluding Snowflake,bigquery on AWS and GCP, with proficiency in SQL, and scripting/programming languages such as Python, PySpark, and Bash. • Strong experience optimizing Snowflake performance using query profiling, virtual warehouse tuning, clustering keys, Search Optimization Service, Query Acceleration Service, caching, and cost optimization best practices. • Strong experience with data modeling, data warehousing environments, and ETL/ELT tools such as Fivetran, HVR, or similar platforms. • Strong experience writing complex SQL queries and optimizing performance in Snowflake and relational databases such as Snowflake, bigquery,Oracle or MySQL. • Strong experience of CI/CD practices and tools (e.g., GitHub, Jenkins, Kubernetes, Ansible) for production deployments. • Experience supporting DSAR and regulatory compliance (GDPR/CCPA) using Snowflake data governance, masking policies, RBAC, data lineage, and secure data access controls • Ability to independently troubleshoot and resolve complex production and data quality issues. • Strong experience supporting analysts and data scientists with query optimization, performance tuning, and data processing. • Strong experience with workflow orchestration and scheduling tools such as Airflow or Automic UC4 is a plus. • Experience implementing data governance using Snowflake Horizon or Atlan, RBAC, masking policies, data lineage, metadata management, and enterprise security best practices. • Experience implementing data quality frameworks using automated validation, monitoring, reconciliation, and observability tools such as Anamolo, Great Expectations, or custom SQL/Python checks. • Exposure to business intelligence tools such as power bI,essbase or MicroStrategy is advantageous. • Strong communication and interpersonal skills, with the ability to collaborate effectively across technical and non-technical teams. • A proactive mindset with the ability to identify improvement opportunities and present recommendations to leadership. If you see yourself in this role, but fall short in any areas above, apply anyway! We love to invest in our team members! The Best Kept Secret in Retail Tailored Brands is North America’s leading specialty retailer of menswear, famous for world-class customer service and unique offerings like tailoring and custom suits. We are best known by our brands, including Men’s Wearhouse, Jos. A. Bank, K&G Fashion Superstore, and Moores Clothing for Men in Canada. We are emerging from the pandemic with incredible momentum. We own a unique and special market segment experiencing record-level demand. This has inspired our 3-year journey to become Legendary; an exciting strategy that leans heavily upon a strong technology foundation. With over 1,000 stores across the US and Canada, 15,000 employees, and over 35 million customers, we’re the perfect size! Large enough to demand leading-edge enterprise-worthy technology, but small enough to move quickly and empower our teams with significant scope & autonomy. Apply now to power your career journey to Legendary! Benefits This role is eligible for healthcare including medical, dental and vision, retirement savings (401k with a company match), income protection programs such as life, accident and disability insurance, paid time off for sick leave, vacation, bereavement, jury duty, and holidays, wellbeing program, commuter, adoption assistance, education assistance, legal services, and employee merchandise discounts. For more detailed information go to mytbtotalrewards.com. Work-Life Balance We understand the demands of work, school, family, and personal responsibilities. Through our work-life resources and programs we offer services for every stage of life to help you manage the day-to-day needs. We offer programs such as: • Meeting-Free Fridays (encouraged) | so you can catch up on work and self-development • Summer Fridays | from Memorial Day to Labor Day so you can enjoy a head-start to the weekend • Holiday Early Departure | close out early the business day before a company observed holiday Work Environment, Physical & Mental Demands • Ability to sit and work at a computer keyboard for extended periods of time • Ability to stoop, kneel, bend at the waist, and reach daily • Able to lift and move up to 25 pounds occasionally • Must utilize visual acuity, speech and hearing, hand and eye coordination and manual dexterity necessary to operate a computer and office equipment • Hours regularly 40 hours per week, as work dictates. This positions follows a hybrid work schedule, working from our Corporate office in Houston, TX on Tuesday through Thursday and remotely on Monday and Friday. Note: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required and are not intended to be an exhaustive list of all duties, responsibilities or qualifications associated with this job.

Key Responsibilities

  • Design, assess, and support efficient, reliable data pipelines across enterprise systems.
  • Enhance and scale cloud-based data warehousing and ETL capabilities to automate large-scale data ingestion.
  • Identify opportunities to automate, optimize, and modernize existing data processes.
  • Own solutions and designs to meet operational standards, performance expectations, and scalability.
  • Contribute to strong data operations by adhering to SLAs, improving data quality, and implementing monitoring.
  • Collaborate with data scientists and analytics teams to deliver data solutions for reporting and predictive use cases.
  • Mentor and coach junior engineers by providing technical guidance and design feedback.
  • Adapt to changing business priorities and data needs while meeting delivery timelines.

Requirements

  • Bachelor's or Master's degree in Computer Science
  • AI Engineering
  • or a related field

Skills Required

SnowflakeBigQueryOracleAS400SQL ServerSalesforceAWS S3GCPAPIsETL/ELTPythonPySparkBashSQLCI/CDGitHubJenkinsKubernetesAnsibleData ModelingData WarehousingData GovernanceGDPRCCPARBACData LineageAirflowAutomic UC4CommunicationInterpersonal skillsCollaborationProactive mindsetProblem solvingRetail industry experiencePower BIEssbaseMicroStrategySnowflake HorizonAtlanAnamoloGreat Expectations

Benefits

  • Healthcare (medical, dental, vision)
  • 401(k) with company match
  • Life, accident, and disability insurance
  • Paid time off (sick leave, vacation, bereavement, jury duty, holidays)
  • Wellbeing program
  • Commuter assistance
  • Adoption assistance
  • Education assistance
  • Legal services
  • Employee merchandise discounts
  • Meeting-Free Fridays
  • Summer Fridays
  • Holiday Early Departure

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Job Overview

Salary

—

Job Type

Full-time

Experience

Senior

Location

6380 Rogerdale Rd, Houston, TX, United States, 77072

Application Deadline

August 17, 2026

Total Applicants

0

About Tailored Brands

Tailored Brands logo

Tailored Brands is a leading company in the Technology sector, known for innovation and employee-centric culture.

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