We are seeking a hands-on Data & Cloud Solutions Architect to design and implement enterprise-scale cloud data architectures supporting data integration analytics AI reporting data lakes and data warehouses.
The ideal candidate must have strong experience with Azure data architecture Databricks Spark data modeling data integration metadata data governance and enterprise solution architecture. This role also requires customer-facing consulting architecture roadmap development solution design technical estimation and support for RFPs and sales engagements.
Required Skills
Bachelors degree in Computer Science - Strict Requirement
7 years of experience in Data Engineering Data Architecture or Enterprise Analytics
3 years of Cloud Data Architecture experience
Strong Azure Data Architecture experience
Hands-on experience with:
Azure Data Lake / ADLS
Azure Data Factory
Azure Synapse
Azure Databricks
Apache Spark
Strong experience in data integration ETL/ELT data lakes data warehouses and high-volume data pipelines
Strong data modeling schema design metadata management data governance data quality and data lineage experience
Strong SQL and programming experience with Python and/or Java
Experience with cloud architecture and Big Data platforms; AWS/GCP/Hadoop experience is a plus
Experience with Power BI Tableau or similar data visualization tools
Experience with data security compliance backup recovery and disaster recovery
Strong architecture documentation and diagramming skills using Visio Lucidchart or similar
Experience with technical consulting customer engagement solution roadmaps RFPs technical proposals estimates and presentations
Ability to conduct architecture reviews POCs technical audits and design evaluations
Strong communication analytical problem-solving and stakeholder management skills
Preferred
AWS Azure or GCP Architect / Big Data Certification
Experience with Unity Catalog Microsoft Purview Collibra or similar governance/catalog tools
Experience with Hadoop Hive MapReduce Pig streaming data migration graph databases or vector data
Experience developing reusable architecture frameworks accelerators and technical solutions
What to Look For
Look for candidates who are true hands-on Data/Cloud Architects not purely Infrastructure Architects or Application Architects.
The resume should clearly show:
Azure data architecture involving ADLS Data Factory Synapse and Databricks.
Databricks Apache Spark hands-on experience designing large-scale data pipelines.
Experience with data lakes data warehouses ETL/ELT and enterprise data integration.
Strong data modeling metadata governance lineage and data quality experience.
Python/Java and SQL hands-on development experience.
Experience designing solutions across at least two data architecture areas: ingestion data management data delivery or data consumption.
Ability to work with customers and business stakeholders and provide architecture roadmaps and solution recommendations.
Experience supporting RFPs estimates technical proposals presentations and solutioning.
Strong architecture documentation and diagramming experience.
Candidate must be comfortable working onsite in San Jose CA 5 days per week.
Avoid: Candidates who are only Azure Infrastructure Architects only Application/Solution Architects only Data Engineers without architecture ownership or candidates whose resumes list Azure tools without showing real architecture and implementation experience.
Required Skills:
Data IntegrationAzureAWSApache SparkHadoopHiveData
Job Title: Data & Cloud Solutions Architect Location: San Jose CA Work Arrangement: 100% Onsite - 5 days/week Job Summary We are seeking a hands-on Data & Cloud Solutions Architect to design and implement enterprise-scale cloud data architectures supporting data integration analytics AI reporting d...
Job Title: Data & Cloud Solutions Architect
Location: San Jose CA
Work Arrangement: 100% Onsite - 5 days/week
Job Summary
We are seeking a hands-on Data & Cloud Solutions Architect to design and implement enterprise-scale cloud data architectures supporting data integration analytics AI reporting data lakes and data warehouses.
The ideal candidate must have strong experience with Azure data architecture Databricks Spark data modeling data integration metadata data governance and enterprise solution architecture. This role also requires customer-facing consulting architecture roadmap development solution design technical estimation and support for RFPs and sales engagements.
Required Skills
Bachelors degree in Computer Science - Strict Requirement
7 years of experience in Data Engineering Data Architecture or Enterprise Analytics
3 years of Cloud Data Architecture experience
Strong Azure Data Architecture experience
Hands-on experience with:
Azure Data Lake / ADLS
Azure Data Factory
Azure Synapse
Azure Databricks
Apache Spark
Strong experience in data integration ETL/ELT data lakes data warehouses and high-volume data pipelines
Strong data modeling schema design metadata management data governance data quality and data lineage experience
Strong SQL and programming experience with Python and/or Java
Experience with cloud architecture and Big Data platforms; AWS/GCP/Hadoop experience is a plus
Experience with Power BI Tableau or similar data visualization tools
Experience with data security compliance backup recovery and disaster recovery
Strong architecture documentation and diagramming skills using Visio Lucidchart or similar
Experience with technical consulting customer engagement solution roadmaps RFPs technical proposals estimates and presentations
Ability to conduct architecture reviews POCs technical audits and design evaluations
Strong communication analytical problem-solving and stakeholder management skills
Preferred
AWS Azure or GCP Architect / Big Data Certification
Experience with Unity Catalog Microsoft Purview Collibra or similar governance/catalog tools
Experience with Hadoop Hive MapReduce Pig streaming data migration graph databases or vector data
Experience developing reusable architecture frameworks accelerators and technical solutions
What to Look For
Look for candidates who are true hands-on Data/Cloud Architects not purely Infrastructure Architects or Application Architects.
The resume should clearly show:
Azure data architecture involving ADLS Data Factory Synapse and Databricks.
Databricks Apache Spark hands-on experience designing large-scale data pipelines.
Experience with data lakes data warehouses ETL/ELT and enterprise data integration.
Strong data modeling metadata governance lineage and data quality experience.
Python/Java and SQL hands-on development experience.
Experience designing solutions across at least two data architecture areas: ingestion data management data delivery or data consumption.
Ability to work with customers and business stakeholders and provide architecture roadmaps and solution recommendations.
Experience supporting RFPs estimates technical proposals presentations and solutioning.
Strong architecture documentation and diagramming experience.
Candidate must be comfortable working onsite in San Jose CA 5 days per week.
Avoid: Candidates who are only Azure Infrastructure Architects only Application/Solution Architects only Data Engineers without architecture ownership or candidates whose resumes list Azure tools without showing real architecture and implementation experience.
Required Skills:
Data IntegrationAzureAWSApache SparkHadoopHiveData