Jr. Data Architect/Engineer
sbt globalPlano (TX)
About the role
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.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.