Senior Data & AI Developer – GCP Platform & Architecture
RealPage, Inc.Full Timesenior
Madhavaram, Telangana, INPosted March 10, 2026
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Job Description
Overview
We are looking for a Senior Data & AI Developer to lead the design and implementation of a GCP-based data and AI platform. This role will drive architecture decisions, build scalable pipelines, and implement AI-driven monitoring and data quality solutions.
Responsibilities
Key Responsibilities
- Architect and implement end-to-end data pipelines
- Design and maintain a medallion data architecture (Bronze, Silver, Gold)
- Lead development of data transformations using dbt
- Build scalable ELT pipelines using SQL and Python
- Design and operate Lakehouse architecture using open table formats (Apache Iceberg, Delta Lake, or Hudi)
- Architect and maintain batch and streaming data pipelines
- Apply cost-aware data modeling and query optimization
- Implement AI/ML solutions for pipeline monitoring and data quality
- Implement AI/ML and GenAI use cases for predictive analytics
- Optimize reporting datasets for BI and analytics consumption
- Design metadata management and data cataloging solutions
- Define standards for data modeling, documentation, and governance
- Build and maintain CI/CD pipelines for data workloads
- Mentor junior engineers and set engineering best practices
Qualifications
Required Qualifications
- 6–10+ years of experience in data engineering, analytics, or AI
- Strong expertise in Google Cloud Platform (BigQuery, GCS, Composer, etc.)
- Advanced SQL and Python skills
- Advanced experience using dbt for analytics engineering
- Strong background in data modeling and semantic layer design
- Experience supporting BI tools and executive reporting
- Experience designing data lakes and data warehouses
- Strong understanding of ELT, orchestration, and data integration
- Experience with CI/CD and DevOps practices for data platforms
- Experience with surfacing data sets to Agents
- Experience with API-based data ingestion and data surfacing
Nice to Have
- Hands-on experience with LLMs and GenAI platforms
- Background in enterprise-scale analytics platforms
- Prior experience leading cloud data modernization programs
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