Data Systems Engineer & Data Architect

Job Description

Job Description

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)

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, you'll 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 scalable and robust Application-to-Application (A2A) integration architectures using various patterns (e.g., API, messaging, ETL / ELT).

Collaborate with Data Governance teams to define data standards, policies, and quality rules.

Provide technical leadership and mentorship to data engineering teams.

2. Data Engineer Responsibilities (Hands-on Implementation)

As the Data Engineer, you'll be responsible for the hands-on building and operationalization of data solutions.

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.

Hands-on configuration, development, and testing of MDM platform components (e.g., matching rules, survivorship logic, data quality checks).

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.

Implement CI / CD practices for data pipelines and infrastructure-as-code (IaC).

Required Qualifications

Expert in Python or Scala.

DCI Benefits :