Jr. Data Architect/Engineer

Location: Plano, TX, us

Company Description

Payrate: $10,400/m DOE

Work Location: Plano, TX

Contract Period: 1 year

We are seeking a mid-level Data Platform Engineer to build a new greenfield data platform integrating internal systems (GSCM, SEASI, SMART, and BOSS) using a Medallion Architecture.

This role owns the end-to-end data pipeline—from ingestion through Bronze/Silver/Gold transformation—while migrating existing Alteryx workflows to code-based dbt and Python implementations.

The engineer will also develop an MCP server enabling AI agents to query business-specific data marts, directly supporting the organization's AI-driven analytics initiatives.

Success in this role will deliver a scalable, governed data foundation that accelerates business insights and AI adoption.

Job Description

• Ingest data from sources such as Microsoft SQL Server (BOSS) and Oracle into the Bronze layer, implementing CDC-based incremental ingestion

• Develop dbt models for the Silver layer including cleansing, standardization, deduplication, and data quality testing

• Develop Gold layer business-specific data marts and migrate existing Alteryx transformation logic

• Configure Apache Iceberg tables and a REST Catalog, including schema evolution and time travel support

• Develop and operate Apache Airflow DAGs, managing dependencies, scheduling, and failure notifications

• Develop an MCP server enabling AI agents to query Gold-layer data marts, including catalog/metadata access, ontology integration, and query execution

• Manage metadata and data lineage using OpenMetadata

• Automate Excel reporting using Python and openpyxl

Qualifications

• 3+ years of hands-on data engineering experience in production environments

• Advanced SQL skills, including window functions, CTEs, and query tuning

• Hands-on dbt experience, including model design, incremental strategies, macros, and tests

• Python proficiency for data processing and automation, including libraries such as pandas

• Experience developing Apache Airflow DAGs

• Experience with at least one analytical engine: Trino/Presto, Apache Spark, or DuckDB

• Experience with at least one lakehouse table format: Apache Iceberg, Delta Lake, or Apache Hudi

• Experience with Medallion Architecture and star schema/dimensional modeling

• Experience integrating relational database sources, such as Microsoft SQL Server and Oracle, using CDC or batch processing

Required Technical Skills

• SQL

• dbt

• Python

• pandas

• Apache Airflow

• Trino/Presto or Apache Spark or DuckDB

• Apache Iceberg or Delta Lake or Apache Hudi

• Microsoft SQL Server

• Oracle

• Kubernetes

• MinIO (S3-compatible storage)

Preferred Qualifications

• Experience with EL tools such as Airbyte or Fivetran, and Iceberg REST Catalog implementations such as Apache Polaris

• Experience with governance tools such as OpenMetadata or DataHub, and semantic layers such as Cube.dev

• Ability to interpret Alteryx workflows (.yxmd) and migrate their logic to SQL/dbt

• Experience developing MCP servers or building LLM, RAG, or AI agent pipelines

• Experience developing applications, APIs, or backend services using Java and/or Python

• Experience building Generative AI (GenAI) applications, including LLM integration, retrieval-augmented generation (RAG), and AI agent workflows

• Hands-on experience with LangChain and/or LangGraph for developing tool-enabled AI agents and orchestrating multi-step workflows

• Understanding of retail and home appliance business domains, including PSI (Production, Sales, and Inventory) and sales analytics

• Understanding of retail and home appliance business domains, including PSI (Production, Sales, and Inventory) and sales analytics

Preferred Technical Skills

• Java or Python

• Generative AI (GenAI) and LLM integration

• LangChain

• LangGraph

• RAG and AI agent pipelines

• MCP server development

• Airbyte

• Fivetran

• Apache Polaris

• OpenMetadata

• DataHub

• Cube.dev

• Alteryx

• openpyxl

Additional Information

All your information will be kept confidential according to EEO guidelines.