Data Systems Engineer & Data Architect

Discover a career at Depot Connect International (DCI) a global leader in the Tank/ISO Tank Container Services and Tank Trailer Parts industry. Were more than just a service provider; were 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 3500 employees excels in offering a multitude of mission-critical services.

Data Architect & Data Engineer (MDM/A2A Focus)

This role combines the strategic oversight of a Data Architect with the practical hands-on implementation skills of a Data Engineer focusing heavily on Master Data Management (MDM) and Application-to-Application (A2A) integrations. The ideal candidate will be responsible for designing building and optimizing the data infrastructure and pipelines that ensure data quality consistency and efficient exchange across the enterprise.

1. Data Architect Responsibilities (Strategy & Design)

As the Data Architect youll be the visionary for the data landscape particularly in MDM and integration domains.

• 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).

2. Data Engineer Responsibilities (Hands-on Implementation)

As the Data Engineer youll be responsible for the hands-on building and operationalization of data solutions.

• 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: Bachelors or Masters 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 Leave

**Applicants 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**