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Jr. Data Architect/Engineer 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 Responsibilities:
  • 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 Open
  • MetadataAutomate 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 DAGsExperience with at least one analytical engine: Trino/Presto, Apache Spark, or DuckDBExperience 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 SkillsSQLdbtPythonpandasApache Airflow
  • Trino/Presto or Apache Spark or DuckDBApache Iceberg or Delta Lake or Apache Hudi
  • Microsoft SQL ServerOracleKubernetesMinIO (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 Open
  • Metadata 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
  • Preferred Technical SkillsJava or Python
  • Generative AI (GenAI) and LLM integration
  • LangChainLangGraphRAG and AI agent pipelinesMCP server development
  • AirbyteFivetranApache Polaris
OpenMetadataDataHubCube.dev AlteryxopenpyxlAdditional Information All your information will be kept confidential according to EEO guidelines.

Also on the board Same function, level within a rung

Level

Lead

Location

Plano, TX

Occupation

Data Warehousing Specialists

Industry

Computer Systems Design Services

Posted

yesterday

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