E

Egen

Cloud-based AI platform development and consulting

Principal Data Architect - Multi-Cloud, GCP & Azure

Full-TimePosted on 10/19/2026
No salary listed
Expert
Bachelor's, Master's
Hyderabad, Telangana, India
Hybrid
Data & AnalyticsData Engineering

About the job

Requirements
  • Candidates should have 15 or more years of progressive experience in software engineering, data engineering, and enterprise data platform architecture.
  • Candidates should have 5 or more years architecting, migrating, and deploying production data platforms across Google Cloud Platform and/or Microsoft Azure, with proven multi-cloud integration patterns.
  • Candidates should demonstrate a track record leading on-premises/cloud-to-cloud modernization and migration initiatives, including data ingestion, transformation, automated data reconciliation, and cutover strategies.
  • Candidates should have experience designing or integrating autonomous, agent-driven, or large language model-augmented data workflows, such as automated schema mapping, code conversion, and data quality validation agents.
  • Candidates should have hands-on experience designing and deploying Lakehouse platforms incorporating Medallion Architecture (Bronze/Silver/Gold) and Data Mesh or Data Product principles.
  • Candidates should have deep knowledge of multi-cloud data governance, access management, and cataloging using Dataplex, Microsoft Purview, or Unity Catalog.
  • Candidates should have strong capability in technical backlog management, agile scoping, sprint planning, and setting technical strategy for distributed teams.
  • Candidates should be able to articulate architectural trade-offs to C-level executives and review code with engineers.
  • Candidates should have deep expertise in Google Cloud Platform and Microsoft Azure enterprise data ecosystems.
  • Candidates should have experience with Apache Spark, PySpark, Databricks, Azure Synapse or Fabric Spark, and GCP Dataproc.
  • Candidates should have experience building automated, agentic, or metadata-driven data migration pipelines, automated schema conversion, and data validation agents for on-premises-to-cloud lift-and-shift or re-platforming.
  • Candidates should have experience with Apache Kafka, GCP Pub/Sub, and Azure Event Hubs.
  • Candidates should have experience with Apache Airflow, Google Cloud Composer, and Azure Data Factory.
  • Candidates should have experience with GCP BigQuery, Azure Synapse, Microsoft Fabric, and Delta Lake or Parquet.
  • Candidates should have experience with MongoDB, Redis, Bigtable, and Azure Cosmos DB.
  • Candidates should have experience with Kubernetes (GKE and AKS), Cloud Run, and Azure Container Apps.
  • Candidates should have experience using Python with FastAPI or Flask for data service endpoints.
  • Candidates should have experience with advanced SQL validation and extraction from legacy or relational database systems, including SQL Server, Oracle, and PostgreSQL.
  • Candidates should have experience with Git, GitHub, GitLab CI/CD, Azure DevOps, and Terraform for infrastructure as code.
  • A Bachelor’s or Master’s degree in Computer Science, Information Technology, or Engineering, or equivalent practical experience, is required.
  • Candidates should hold or be able to apply relevant multi-cloud certifications, such as Google Cloud Professional Data Engineer or Cloud Architect and/or Microsoft Certified Azure Data Engineer Associate or Azure Solutions Architect Expert.
Responsibilities
  • Define and drive enterprise data architecture, modernization, and governance strategies across multi-cloud and hybrid environments.
  • Design scalable, secure, and high-performing data platforms and partner with business and engineering leaders to translate strategic objectives into data solutions.
  • Lead the technical direction for engineering teams and manage the customer’s technical backlog and delivery roadmap.
  • Lead end-to-end architecture, design, and implementation of scalable data lakehouse solutions across Google Cloud Platform services, including BigQuery, GCS, BigLake, and Dataplex, and Microsoft Azure services, including Azure Synapse Analytics, Microsoft Fabric, ADLS Gen2, and Azure Databricks.
  • Architect and deploy automated, scalable, agent-driven data pipelines using GenAI agents and metadata-driven frameworks to orchestrate, validate, and accelerate migrations from on-premises legacy warehouses and databases, including Oracle, Teradata, and SQL Server, to GCP and Azure.
  • Collaborate directly with customers to understand business goals, data challenges, and technical requirements, then translate them into architectural blueprints, technical roadmaps, and delivery plans.
  • Own and manage the customer technical backlog by translating business epics into technical user stories, prioritizing technical debt, defining sprint milestones, and aligning backlog items with business ROI.
  • Design and implement data pipelines for real-time and batch ingestion using orchestration tools such as Cloud Composer, Azure Data Factory, and Airflow, and streaming or messaging frameworks such as Kafka, GCP Pub/Sub, and Azure Event Hubs.
  • Establish and enforce unified data cataloging, metadata management, automated lineage, and data quality practices across multi-cloud and on-premises systems using Dataplex, Microsoft Purview, or open-source governance tools.
  • Define and implement data security, identity management using IAM and Azure Entra ID, encryption, row- and column-level access controls, and regulatory compliance standards across clouds.
  • Set engineering teams’ technical direction, establish architectural standards, mentor senior and mid-level engineers, conduct architecture reviews, and ensure engineering excellence.
  • Deliver hands-on solutioning, architectural spikes, proofs of concept, and performance tuning for complex multi-cloud distributed workloads.
  • Partner with enterprise architects, delivery leads, DevOps engineers, and customer stakeholders to drive solution adoption, operational scalability, and long-term platform maintainability.
Desired Qualifications
  • Hands-on knowledge of Snowflake and Databricks.
  • Familiarity with AWS data services, including Amazon S3, Redshift, Glue, and EMR.
  • Experience with LangChain, LlamaIndex, or agentic framework integrations in data operations.

About the company

E

Egen

View
cbWebsite

Egen.ai builds data-driven solutions by combining cloud computing, AI, and platform development to help organizations optimize operations, reduce costs, and improve decision-making. It delivers tailored consulting and scalable platforms, partnering with cloud and data platform providers across industries, including government and enterprise clients. Its solutions collect and analyze data from clients’ systems, deploy AI-powered features, and run on cloud infrastructure to support predictive maintenance, mobile ordering, and other use cases. The goal is to accelerate clients' data and platform value chains, delivering measurable cost savings and operational improvements.

Company Size

1,001-5,000

Company Stage

Pre-seed

Total Funding

$1.3M

Headquarters

Naperville, Illinois

Founded

2000

Get referred to Egen

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • Qarik acquisition broadened Egen's enterprise reach across communications, healthcare, life sciences, and retail.
  • Christy Mayr's 2026-07-07 appointment targets the biggest AI bottleneck: workforce adoption.
  • Egen's 700-plus specialists across Canada, Europe, India, and the U.S. support global delivery.

What critics are saying

  • Egen depends heavily on Google Cloud, exposing it to partner-policy changes and pricing pressure.
  • Services margins face commoditization as clients internalize AI implementation after Gemini Enterprise deployments.
  • A Google Cloud ecosystem slowdown or partner consolidation threatens Egen's core revenue base by 2027.

What makes Egen unique

  • Egen acquired Qarik on 2024-10-24, creating 800-plus Google Cloud specialists.
  • Egen is a Google Cloud Premier Partner and Gemini Enterprise preferred partner in 2026.
  • Egen launched Agentic Change Enablement on 2026-07-07, combining AI deployment with change management.

Help us improve and share your feedback! Did you find this helpful?

Benefits

  • Fun team outings
  • Health insurance
  • 401(K)
  • Dental & vision insurance
  • Paid time-off
  • Food & drinks
  • Parental leave

Company News

PR Newswire
Oct 20th, 2026
Egen named launch partner for Google Cloud's Gemini for government services

Egen, a Google Cloud Premier Partner, has been selected as a launch partner for Google Cloud's Gemini for government services. The Naperville, Illinois company will use the AI tools to speed up complex public sector workflows. Egen has already built Gemini into its public sector offerings, including its AI platform for higher education, Infrastructure Intelligence Accelerator, and Fraud Intelligence Accelerator. Customers include a state bringing Gemini to more than 8,000 workers. Egen is also building a secure AI platform for one of the largest US public higher education systems, designed to scale to 40,000 faculty and researchers. "Being selected as a launch partner validates our team's expertise," said Joe Stage, president of public sector at Egen.

IT Digest
Jul 8th, 2026
Egen launches Agentic Change Enablement Practice to drive enterprise AI adoption.

Egen launches Agentic Change Enablement Practice to drive enterprise AI adoption. Egen, a leading cloud, data, and platform engineering firm, announced the launch of its dedicated Agentic Change Enablement Practice. The specialized service offering is engineered to bridge the execution gap between initial technology implementation and long-term business value, helping enterprises optimize employee workflows and organizational structures for autonomous AI integration. As multi-national corporations accelerate capital allocations toward generative and agentic artificial intelligence, an operational bottleneck has shifted to center stage. While modern engineering groups can deploy autonomous software engines relatively quickly, the ultimate yield on that investment hinges on human alignment. Without targeted operational restructuring, extensive workforce upskilling, clear performance metrics, and rigorous governance structures, complex AI investments can stall out in the pilot phase. "Agentic AI will not create value simply because it is deployed," said Alim Somani, CEO of Egen. "Value comes when agents are embedded into real workflows, people understand how their work is changing, and organizations have the governance, training, and measurement needed to scale adoption. Our Agentic Change Enablement Practice brings those pieces together so enterprises can move from experimentation to durable enterprise impact." Redesigning Workflow architecture via Google Cloud integration. Egen, operating as a Google Cloud Premier Partner, will leverage its expanded organizational footprint to guide companies through the entire lifecycle of agentic software transformation. The newly formed practice unifies technical agent engineering and underlying platform data modeling with specialized corporate change management. The strategic framework targets three distinct transformation phases to maximize technology ROI: * Workflow Orchestration and Mapping: Auditing core corporate business units to identify, isolate, and prioritize the exact processes best suited for autonomous agent execution. * Workforce Evolution and Training: Designing structured learning curricula, transition roadmaps, and alignment communication channels to prepare front-line personnel for collaborative human-to-AI operating environments. * Performance Measurement at Scale: Establishing real-time auditing dashboards and objective telemetry tracking matrices to continuously evaluate how active AI systems impact overall business velocity. The practice integrates natively with Google Cloud's modern technology landscape - including Gemini Enterprise toolsets - to construct automated agents grounded in verified corporate context. This system ensures that all automated workflows operate inside a secure, compliant ecosystem featuring enterprise-grade sovereignty controls. Appointing digital transformation veteran Christy Mayr to lead practice. To accelerate market penetration and build out the division's consulting methodologies, Egen has appointed digital transformation leader Christy Mayr as Head of Agentic Change Enablement. Mayr and her dedicated team of organizational design and technology implementation specialists will concentrate on accelerating the adoption velocity of newly deployed digital systems across multi-tier enterprise models. By structuring strategic learning tracks, enhancing cross-departmental decision matrices, and managing stakeholder alignment across complex operations, the practice enables corporate leadership to convert experimental AI ideas into predictable, compliant, and measurable financial outcomes. The service layer is active and available for onboarding immediately, providing a comprehensive operational framework for organizations seeking to scale their underlying digital capacities.

PR Newswire
Jul 7th, 2026
Egen launches Agentic Change Enablement Practice to accelerate enterprise AI adoption

Egen has launched its Agentic Change Enablement Practice to help organisations move from AI pilots to scaled enterprise adoption. The consulting firm, a Google Cloud Premier Partner with over 700 technology specialists, will guide companies through workflow redesign, team adoption of AI-enabled processes, and impact measurement. The practice aims to address the gap between AI technology deployment and creating real business value. It focuses on embedding AI agents into workflows, workforce readiness, and governance frameworks using Google Cloud technologies including Gemini Enterprise. Egen appointed digital transformation veteran Christy Mayr to lead the new capability. The firm works across Canada, Europe, India, and the United States, specialising in cloud, data, platforms, and AI implementation.

PR Newswire
Oct 24th, 2024
Egen Announces Acquisition of Qarik, Strengthens Position as Leading Cloud, Platform and AI Services Provider in the Google Cloud Ecosystem

/PRNewswire/ -- Egen, a technology services company with leading capabilities across Google Cloud infrastructure, product and data engineering, and artificial...