Data and Cloud Solutions Architect

Programmers.io; San Jose (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Programmers.io is seeking a Senior Cloud Data Architect to design and optimize Azure-based data architectures powering analytics, AI, and enterprise intelligence. This hands-on role requires 7+ years of data engineering/architecture experience, including 3+ years in cloud data architecture, with strong Azure Data Lake, Data Factory, Synapse, Databricks, Spark, Python, and SQL skills.

The role emphasizes data lakehouse/warehouse architecture, metadata management, governance, lineage, and schema

Qualifications

• Bachelor's degree in Computer Science or closely related field.
• 7+ years of experience in data engineering/architecture or enterprise analytics.
• 3+ years of cloud data architecture experience.
• Strong Azure experience with Azure Data Lake, Data Factory, Synapse, and Databricks.
• Experience with Spark and distributed data processing.
• Proficiency in Python and SQL for data pipelines and analytics.
• Expertise in data modeling, schema design, metadata management, data lineage, and governance.
• Experience with architecture documentation and visualization tools (Visio/Lucidchart/Draw.io).
• Hands-on data pipeline development and optimization; knowledge of CI/CD, observability, and schema evolution.

Responsibilities

• Design end-to-end Azure-based data architectures for analytics, AI, and enterprise intelligence.
• Collaborate with data engineers, analysts, product teams, and cloud specialists on data pipelines from ingestion to consumption.
• Lead design of data lakehouse/warehouse architectures and metadata governance frameworks.
• Document architecture using diagrams and blueprints; ensure scalable, secure, and cost-effective implementations.
• Implement CI/CD, observability, and schema evolution across data platforms.

Skills

Azure

Azure Data Lake

Data Factory

Synapse

Databricks

Spark

Python

SQL

Data modeling

Metadata management

Data governance

Data lineage

CI/CD

Observability

Schema evolution

Architecture diagrams

Visio

Lucidchart

Draw.io

Education

Bachelor's degree in Computer Science

Tools

Visio

Lucidchart

Draw.io

Unity Catalog

Microsoft Purview

Collibra

DataHub

Job description

The Senior Cloud Data Architect is a hands‑on role responsible for designing, evolving, and optimizing the organization's cloud‑based data architecture. This individual will shape the technical foundation for scalable, secure, and well‑governed data systems that power analytics, AI, and enterprise intelligence.

As an individual contributor, the architect partners closely with data engineers, analysts, product teams, and cloud specialists to design end‑to‑end solutions‑spanning ingestion, transformation, storage, metadata, and consumption. The ideal candidate brings deep technical expertise in data architecture, metadata design, and cloud‑native data services, coupled with a keen ability to translate complex requirements into elegant, maintainable designs.

Senior Cloud Data Architect Role Summary

The Senior Cloud Data Architect is a hands‑on individual contributor responsible for designing and optimizing Azure‑based cloud data architectures supporting analytics, AI, and enterprise intelligence. The ideal candidate should have 7+ years of experience in data engineering/architecture, including 3+ years in cloud data architecture, with strong expertise in Azure Data Lake, Data Factory, Synapse, Databricks, Spark, Python, and SQL.

The role focuses heavily on data lakehouse/warehouse architecture, metadata management, data governance, lineage, schema design, and data modeling. Candidates should have experience with tools such as Unity Catalog, Microsoft Purview, Collibra, or DataHub, along with hands‑on experience designing distributed data pipelines, optimizing performance and cost, and implementing CI/CD, observability, and schema evolution.

The candidate must also be strong in architecture documentation and visualization, including data‑flow diagrams, logical/physical data models, system blueprints, and architecture decision documentation using tools such as Visio, Lucidchart, or Draw.io.

Must‑Have Requirements

• Bachelor's degree in Computer Science strict requirement


• 7+ years in data engineering, data architecture, or enterprise analytics


• 3+ years of cloud data architecture


• Strong Azure experience


• Azure Data Lake, Data Factory, Synapse, Databricks


• Spark / distributed data processing


• Python + SQL


• Data modeling, schema design, and metadata management


• Data lineage and governance


• Architecture diagrams/documentation


• Hands‑on data pipeline development and optimization