Enterprise Data Solution Architect

We are seeking a visionary Enterprise Data Solution Architect to bridge the gap between complex data engineering and the frontier of Generative AI. In this role, you will design and oversee the implementation of large-scale, secure, and governed data ecosystems on Google Cloud Platform (Google Cloud Platform)., * Architectural Strategy: Design end-to-end enterprise data architectures that support both traditional analytics and modern Gen AI workloads.

• Google Cloud Platform Ecosystem Leadership: Build scalable solutions using BigQuery, Dataflow, Dataproc, and Cloud Spanner, ensuring optimal performance and cost-efficiency.
• Gen AI Integration: Implement production-ready Gen AI frameworks using Vertex AI, Model Garden, and Vector Search. Design orchestration layers for LLMs (e.g., LangChain or LlamaIndex).
• Data Governance & Security: Enforce rigorous data privacy standards, VPC Service Controls, and IAM policies, especially concerning the ingestion of proprietary data into AI models.
• Modern Data Modeling: Oversee the transition from legacy silos to modern architectures like Data Mesh or Data Lakehouse.
• Stakeholder Collaboration: Act as the technical liaison between C-suite executives, data scientists, and DevOps teams to ensure business alignment.

• Expertise: BigQuery (ML, Omni, BigLake), Pub/Sub, Cloud Storage, and Dataform/dbt.
• Pipeline Mastery: Advanced experience in Python, Java, or Go for complex ETL/ELT development.
• Governance: Proficiency in Google Cloud Dataplex for lineage, quality, and metadata management.

Generative AI & Machine Learning

• AI Frameworks: Hands-on experience with Vertex AI (Foundational Models, Search, and Conversation).
• Architectural Patterns: Deep understanding of Vector Databases, embeddings, and fine-tuning strategies for LLMs.
• MLOps: Experience building CI/CD pipelines for ML (Vertex AI Pipelines or Kubeflow).

Enterprise Architecture

• Knowledge of TOGAF or similar frameworks.
• Strong understanding of microservices architecture and API management (Apigee).

Experience & Certifications

• Experience: 8+ years in Data Architecture, with at least 3 years focused on Google Cloud Platform.
• AI Background: Proven track record of deploying at least one Gen AI solution into a production environment.
• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• Preferred Certifications: * Google Cloud Platform Professional Data Engineer
• Google Cloud Platform Professional Cloud Architect

Education

• Bachelors or Masters in Information Technology, Computer Science or relevant field.

Apptad offers strategic consulting, enterprise information management and digital transformation services. With globally connected offices in US and India along with a team of trained and certified IT resources, Apptad ensures quick and effective delivery to its customers.Apptad is relentlessly reinventing the outlook of how companies leverage data.

With an effort to enable our customers the ability to solve biggest problems within their organization.We perceive our clients problems and respond with custom solutions instead of handing over boilerplate responses.

OUR MISSION

Customer Focus: We listen carefully to the needs of our clients so that we know what s important for their business and can design a customized solution for their business.

Innovation: As a firm, we believe in constantly upgrading ourselves and improving our solutions to adapt to the changing landscape of technology.

Accountability and Ethics: We believe in taking our commitments as seriously as our customers and living up to them while building trust for a long term business relationship.