Enterprise Architect

Job-ID

Reference

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

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/GCP), 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.

Key Responsibilities

• 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 performance and scalability of enterprise data pipelines.
• Cloud Architecture
  • Design enterprise solutions across AWS, Azure, and GCP.
  • 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.

Required Technical Skills

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

Soft Skills

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

This 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.
Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.