Depot Connect International
Data Systems Engineer & Data Architect
Depot Connect International, Houston, Texas, United States, 77246
Join to apply for the
Data Systems Engineer & Data Architect
role at
Depot Connect International .
Get AI-powered advice on this job and more exclusive features.
Discover a career at Depot Connect International (DCI), a global leader in the Tank/ISO Tank Container Services and Tank Trailer Parts industry. We’re more than just a service provider; we’re a unified team combining the expertise of industry leaders Quala, Boasso Global, and Polar Service Centers (PSC). Headquartered in Tampa, Florida, with over 160 locations worldwide, our team of over 3,500 employees excels in offering a multitude of mission‑critical services.
Data Architect & Data Engineer (MDM/A2A Focus)
Data Architect Responsibilities:
MDM Strategy & Design:
Define and govern the Master Data Management (MDM) strategy, roadmap, and architecture (e.g., Customer, Product, Vendor, etc.).
Design the conceptual, logical, and physical data models for MDM solutions, ensuring data lineage and governance are clearly defined.
Select and evaluate appropriate MDM technologies and tools.
Integration Architecture (A2A):
Design scalable and robust Application-to-Application (A2A) integration architectures using various patterns (e.g., API, messaging, ETL/ELT).
Establish technical standards and best practices for data integration, security, and performance.
Data Governance & Quality:
Collaborate with Data Governance teams to define data standards, policies, and quality rules.
Design systems for continuous data quality monitoring and remediation.
Technology Leadership:
Provide technical leadership and mentorship to data engineering teams.
Drive adoption of modern data architecture principles (e.g., Data Mesh, Data Fabric).
Data Engineer Responsibilities:
Data Pipeline Development:
Design, build, and maintain robust, scalable, and efficient ETL/ELT pipelines to ingest, transform, and load data from various source systems into the MDM hub and analytical platforms.
Develop and optimize data flows for real-time and batch A2A integrations.
MDM Implementation:
Hands‑on configuration, development, and testing of MDM platform components (e.g., matching rules, survivorship logic, data quality checks).
Develop custom connectors and services to synchronize master data across enterprise systems.
Cloud & Big Data Tools:
Implement data solutions using cloud‑native services (e.g., AWS, Azure, GCP) including services like Kafka/Kinesis, Snowflake/Redshift/BigQuery, Spark/Databricks, and managed database services.
Write high‑quality, maintainable code in languages like Python or Scala.
Automation & Monitoring:
Implement CI/CD practices for data pipelines and infrastructure‑as‑code (IaC).
Set up comprehensive monitoring and alerting for data quality, pipeline performance, and health integration.
Required Qualifications
Education: Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related quantitative field.
Experience: 5+ years of combined experience in Data Architecture and hands‑on Data Engineering roles.
MDM Expertise: Deep, hands‑on experience with at least one major MDM platform (e.g., Informatica MDM, Boomi, Reltio, Semarchy, Talend MDM).
Integration Proficiency: Strong background in designing and implementing A2A integrations using technologies like REST APIs, SOAP, Message Queues (e.g., Kafka, RabbitMQ), and Enterprise Service Buses (ESB).
Technical Stack:
Expert in Python or Scala.
Proficiency with SQL and relational/NoSQL databases.
Hands‑on experience with cloud data platforms (AWS, Azure, or GCP).
Experience with ETL/ELT tools (e.g., Informatica PowerCenter, Talend, Fivetran, Data Build Tool - dbt).
Soft Skills: Excellent analytical, problem‑solving, and communication skills, with the ability to articulate complex technical concepts to non‑technical stakeholders.
DCI Benefits
Medical, Dental and Vision Insurance
401(k) with match
Paid Time Off
10 Paid Holidays
Short and Long Term Disability Insurance
Tuition Reimbursement
Parental LeaveApplicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Seniority level Mid-Senior level
Employment type Full‑time
Job function Information Technology
Industries Truck Transportation
Houston, TX Salary: $90,000.00–$118,000.00 (6 days ago)
Greater Houston Salary: $125,000.00–$140,000.00 (6 months ago)
#J-18808-Ljbffr
Data Systems Engineer & Data Architect
role at
Depot Connect International .
Get AI-powered advice on this job and more exclusive features.
Discover a career at Depot Connect International (DCI), a global leader in the Tank/ISO Tank Container Services and Tank Trailer Parts industry. We’re more than just a service provider; we’re a unified team combining the expertise of industry leaders Quala, Boasso Global, and Polar Service Centers (PSC). Headquartered in Tampa, Florida, with over 160 locations worldwide, our team of over 3,500 employees excels in offering a multitude of mission‑critical services.
Data Architect & Data Engineer (MDM/A2A Focus)
Data Architect Responsibilities:
MDM Strategy & Design:
Define and govern the Master Data Management (MDM) strategy, roadmap, and architecture (e.g., Customer, Product, Vendor, etc.).
Design the conceptual, logical, and physical data models for MDM solutions, ensuring data lineage and governance are clearly defined.
Select and evaluate appropriate MDM technologies and tools.
Integration Architecture (A2A):
Design scalable and robust Application-to-Application (A2A) integration architectures using various patterns (e.g., API, messaging, ETL/ELT).
Establish technical standards and best practices for data integration, security, and performance.
Data Governance & Quality:
Collaborate with Data Governance teams to define data standards, policies, and quality rules.
Design systems for continuous data quality monitoring and remediation.
Technology Leadership:
Provide technical leadership and mentorship to data engineering teams.
Drive adoption of modern data architecture principles (e.g., Data Mesh, Data Fabric).
Data Engineer Responsibilities:
Data Pipeline Development:
Design, build, and maintain robust, scalable, and efficient ETL/ELT pipelines to ingest, transform, and load data from various source systems into the MDM hub and analytical platforms.
Develop and optimize data flows for real-time and batch A2A integrations.
MDM Implementation:
Hands‑on configuration, development, and testing of MDM platform components (e.g., matching rules, survivorship logic, data quality checks).
Develop custom connectors and services to synchronize master data across enterprise systems.
Cloud & Big Data Tools:
Implement data solutions using cloud‑native services (e.g., AWS, Azure, GCP) including services like Kafka/Kinesis, Snowflake/Redshift/BigQuery, Spark/Databricks, and managed database services.
Write high‑quality, maintainable code in languages like Python or Scala.
Automation & Monitoring:
Implement CI/CD practices for data pipelines and infrastructure‑as‑code (IaC).
Set up comprehensive monitoring and alerting for data quality, pipeline performance, and health integration.
Required Qualifications
Education: Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related quantitative field.
Experience: 5+ years of combined experience in Data Architecture and hands‑on Data Engineering roles.
MDM Expertise: Deep, hands‑on experience with at least one major MDM platform (e.g., Informatica MDM, Boomi, Reltio, Semarchy, Talend MDM).
Integration Proficiency: Strong background in designing and implementing A2A integrations using technologies like REST APIs, SOAP, Message Queues (e.g., Kafka, RabbitMQ), and Enterprise Service Buses (ESB).
Technical Stack:
Expert in Python or Scala.
Proficiency with SQL and relational/NoSQL databases.
Hands‑on experience with cloud data platforms (AWS, Azure, or GCP).
Experience with ETL/ELT tools (e.g., Informatica PowerCenter, Talend, Fivetran, Data Build Tool - dbt).
Soft Skills: Excellent analytical, problem‑solving, and communication skills, with the ability to articulate complex technical concepts to non‑technical stakeholders.
DCI Benefits
Medical, Dental and Vision Insurance
401(k) with match
Paid Time Off
10 Paid Holidays
Short and Long Term Disability Insurance
Tuition Reimbursement
Parental LeaveApplicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Seniority level Mid-Senior level
Employment type Full‑time
Job function Information Technology
Industries Truck Transportation
Houston, TX Salary: $90,000.00–$118,000.00 (6 days ago)
Greater Houston Salary: $125,000.00–$140,000.00 (6 months ago)
#J-18808-Ljbffr