Data Architect

Ejamerica; Houston (TX); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Restaurant d'entreprise

Job summary

Ejamerica in Houston, TX seeks an experienced Data Architect to assess and optimize Data Engineering processes and drive modernization through AI, automation, and advanced data platforms.

The ideal candidate has hands-on experience with Databricks and AWS Redshift, expertise in Agentic AI, AI-enabled Data Engineering, and AI solutions across the SDLC. This role requires a proactive architect who can identify opportunities, develop PoCs, and drive successful implementation with stakeholders.

Qualifications

• 10+ years of experience in Data Engineering or Data Architecture.
• Hands-on experience with Databricks and AWS Redshift.
• Experience with AWS cloud data services.
• Experience with Data Lakehouse, Data Warehousing, ETL/ELT, Data Modeling, and Data Integration.
• Experience with Agentic AI, Generative AI, or LLM-based solutions.
• Experience applying AI or automation within Data Engineering and the SDLC.
• Strong Python, PySpark, and SQL skills.
• Strong problem-solving and stakeholder management.

Responsibilities

• Assess existing Data Engineering architecture, processes, and platforms and identify optimization opportunities.
• Design scalable and modern data architectures using Databricks, AWS Redshift, and AWS services.
• Identify opportunities for automation, Agentic AI, and AI enablement across Data Engineering.
• Develop and validate Proofs of Concept (POCs) and drive successful solutions into production.
• Define architecture for data lakes, lakehouse platforms, data warehouses, ETL/ELT, and data integration.
• Apply AI across the SDLC, including development, testing, data quality, monitoring, documentation, and troubleshooting.
• Establish reusable architecture patterns, standards, and best practices.
• Work closely with Data Engineering, AI/ML, application, architecture, and business teams.
• Present technical recommendations and build stakeholder alignment around innovative solutions.
• Proactively identify improvements rather than waiting for predefined requirements.

Skills

Databricks

AWS Redshift

Data Architecture

Agentic AI

Generative AI

Python

PySpark

SQL

AWS cloud data services

Job description

Data Architect – AI, Automation & Data Platforms

Location: Houston, TX

Experience: 10+ years preferred

Key Skills: Databricks, AWS Redshift, Data Architecture, Agentic AI, Generative AI, AWS, Python, PySpark, SQL

Job Summary

We are seeking an experienced Data Architect to assess and optimize existing Data Engineering processes and drive modernization through AI, automation, and advanced data platforms.

The ideal candidate will bring strong hands‑on experience with Databricks and AWS Redshift, along with expertise in Agentic AI, AI‑enabled Data Engineering, and AI solutions across the SDLC. This role requires a proactive architect who can identify opportunities, develop POCs, and drive successful implementation while collaborating with technical and business stakeholders.

Key Responsibilities

• Assess existing Data Engineering architecture, processes, and platforms and identify opportunities for optimization.
• Design scalable and modern data architectures using Databricks, AWS Redshift, and AWS services.
• Identify opportunities for automation, Agentic AI, and AI enablement across Data Engineering.
• Develop and validate Proofs of Concept (POCs) and drive successful solutions into production.
• Define architecture for data lakes, lakehouse platforms, data warehouses, ETL/ELT, and data integration.
• Apply AI across the SDLC, including development, testing, data quality, monitoring, documentation, and troubleshooting.
• Establish reusable architecture patterns, standards, and best practices.
• Work closely with Data Engineering, AI/ML, application, architecture, and business teams.
• Present technical recommendations and build stakeholder alignment around innovative solutions.
• Proactively identify improvements rather than waiting for predefined requirements.

Required Skills

• Strong experience in Data Architecture and Data Engineering.
• Hands‑on expertise with Databricks and AWS Redshift.
• Strong knowledge of AWS cloud data services.
• Experience with Data Lakehouse, Data Warehousing, ETL/ELT, Data Modeling, and Data Integration.
• Experience with Agentic AI, Generative AI, or LLM‑based solutions.
• Experience applying AI or automation within Data Engineering and the SDLC.
• Strong knowledge of Python, PySpark, and SQL.
• Strong problem‑solving, communication, and stakeholder‑management skills.

Preferred Qualifications

• 10+ years of experience in Data Engineering, Data Architecture, or related areas.
• Experience leading data platform modernization or cloud transformation initiatives.
• Experience working in large enterprise environments.

Core Skills

Data Architecture | Databricks | AWS Redshift | AWS | Data Engineering | Agentic AI | Generative AI | Python | PySpark | SQL | ETL/ELT | Data Lakehouse | Data Warehousing | AI Automation | POC Development