Bi Architect

Role : Enterprise Architect Location : Scottsdale, AZ (Onsite)
Role Overview

We are seeking a highly experienced Enterprise Architect to define and drive the enterprise technology strategy across Data Platforms, Cloud, AI/ML, Analytics, and Enterprise Integration. The ideal candidate will be responsible for designing scalable, secure, and future-ready architectures leveraging Databricks, Snowflake, Hadoop, Cloud Platforms (AWS/Azure/Google Cloud Platform), APIs, Data Engineering, Automation, and AI/ML technologies. The architect will collaborate with executive leadership, business stakeholders, engineering teams, and customers to build enterprise-scale digital, data, and AI solutions that maximize business value and operational efficiency.

Enterprise Architecture & Strategy
Define enterprise-wide architecture standards, reference architectures, and technology roadmaps.
Lead architecture governance, solution reviews, and technology selection decisions.
Design scalable, resilient, secure, and cost-optimized enterprise platforms.
Align technology architecture with business objectives and digital transformation initiatives.
Drive cloud adoption, modernization, and platform engineering programs.

Data Platform Architecture
Architect enterprise data platforms using Databricks, Snowflake, Hadoop, and cloud-native services.
Design modern Lakehouse, Data Warehouse, and Data Mesh architectures.
Define enterprise data governance, metadata management, lineage, and security frameworks.
Establish data quality, observability, monitoring, and compliance standards.
Design structured and unstructured data management strategies.

Data Engineering & ETL
Architect large-scale ETL/ELT frameworks for batch and real-time processing.
Lead the design of scalable data pipelines across multiple source systems.
Define data integration patterns using Spark, Databricks, Hadoop ecosystem, and cloud-native services.
Establish best practices for ingestion, transformation, orchestration, and data delivery.
Optimize the performance and scalability of enterprise data pipelines.

Cloud Architecture
Design enterprise solutions across AWS, Azure, and Google Cloud Platform.
Drive cloud migration and modernization initiatives.
Architect highly available, secure, and scalable cloud platforms.
Define Infrastructure as Code (IaC), CI/CD, and DevOps strategies.
Ensure cloud governance, security, networking, and FinOps best practices.

AI/ML & Advanced Analytics
Define enterprise AI/ML architecture strategy.
Architect MLOps frameworks and model lifecycle management.
Design Generative AI, Agentic AI, RAG, and LLM integration architectures.
Establish AI governance, monitoring, security, and responsible AI practices.
Enable business intelligence, predictive analytics, and advanced AI capabilities.

API & Integration Architecture
Define enterprise integration architecture and API strategy.
Design microservices, event-driven, and API-first architectures.
Establish integration patterns using REST APIs, GraphQL, messaging systems, and streaming frameworks.
Ensure secure, scalable, and reusable enterprise integrations.

Quality Engineering & Test Automation
Define enterprise testing strategy for data, cloud, APIs, and applications.
Architect automated testing frameworks for ETL, Data Quality, API, AI/ML, and cloud platforms.
Drive adoption of CI/CD-integrated quality engineering practices.
Establish reliability, observability, and performance testing standards.

Leadership & Stakeholder Management
Act as trusted advisor to business and technology leadership.
Mentor architects, engineers, and technical leads.
Lead architecture reviews and technical governance forums.
Drive innovation and adoption of emerging technologies.

• Databricks Lakehouse
• Snowflake
• Hadoop Ecosystem (HDFS, Hive, Spark, YARN)
• Data Warehouse & Data Lake Platforms
• Delta Lake
• Data Mesh & Data Fabric
• ETL / ELT Architecture
• Data Pipelines
• Apache Spark
• PySpark
• Kafka
• Streaming & Real-Time Processing
• Data Quality & Observability
• AWS
• Microsoft Azure
• Google Cloud Platform
• Cloud Security & Networking
• Infrastructure as Code (Terraform, CloudFormation)
• Machine Learning Platforms
• MLOps
• Generative AI
• Large Language Models (LLMs)
• Agentic AI
• RAG Architectures
• Vector Databases
• REST APIs
• GraphQL
• Enterprise Service Bus (ESB)
• Event-Driven Architecture
• Microservices
• CI/CD Pipelines
• GitHub/GitLab
• Jenkins
• Docker
• Kubernetes
• Test Automation Frameworks
• SQL Server
• PostgreSQL
• Oracle
• NoSQL Databases

• Executive stakeholder management
• Strategic thinking
• Architectural leadership
• Strong communication and presentation skills
• Problem-solving and decision-making
• Customer engagement and consulting experience

This Enterprise Architect role is ideal for organizations looking to build and modernize enterprise-scale Data, AI, Cloud, and Digital platforms while driving innovation, governance, and business transformation.

For applications and inquiries,