LanceSoft, Inc.
Base pay range
$100.00/hr - $110.00/hr
Overview
We are seeking an experienced
Solution Architect – Data
to lead the design, modernization, and optimization of enterprise-scale data systems within a cloud-based data platform. This role is responsible for defining data architecture, ensuring operational excellence, and establishing governance standards to maintain high-quality, reliable, and secure data assets.
The Solution Architect will play a key role in building scalable data platforms, supporting AI-driven solutions, and guiding cloud migration initiatives. This position requires strong technical depth, architectural leadership, and close collaboration with business stakeholders, data engineers, machine learning teams, and domain experts.
The ideal candidate will have a proven track record of delivering end-to-end
ETL/ELT pipelines
across
Databricks, Azure, and AWS
environments.
Key Responsibilities Design and implement scalable
data lake and data architectures
using Databricks and cloud-native services. Develop
metadata-driven, parameterized ingestion frameworks
and multi-layer data architectures. Optimize data pipelines, workloads, and system performance. Define and enforce
data governance frameworks , ensuring data integrity, accuracy, and consistency. Architect and develop robust
ETL/ELT pipelines
and data integration solutions. Design and support
AI-driven data systems , including RAG workflows and prompt engineering. Lead cloud migration initiatives from legacy systems to modern cloud data platforms. Provide architectural guidance, best practices, and technical leadership across engineering teams. Create and maintain documentation, reusable modules, and standardized architecture patterns.
Required Skills & Experience Strong expertise with
cloud platforms , primarily
Azure or AWS . Hands‑on experience with
Databricks . Advanced proficiency in
Python and SQL . Extensive experience building
ETL/ELT pipelines
and
Azure Data Factory (ADF)
workflows. Proven experience designing
data lakes
and implementing
data governance frameworks . Hands‑on experience with
CI/CD pipelines, DevOps practices, and Git‑based development . Ability to translate complex business requirements into scalable technical solutions.
Technical Expertise Programming:
Python, SQL, R Big Data:
Hadoop, Spark, Kafka, Hive Data Warehousing:
Redshift, SQL Server ETL/ELT Tools:
SSIS
Education & Experience Requirements Bachelor’s degree in
Computer Science, Information Technology, Information Systems, Engineering , or a related field. 6+ years of hands‑on experience
in data engineering or .NET development.
Seniority level Mid‑Senior level
Employment type Contract
Job function Information Technology
Industries IT Services and IT Consulting and Government Administration
Referrals increase your chances of interviewing at LanceSoft, Inc. by 2x
Get notified about new Solutions Architect jobs in
Phoenix, AZ .
#J-18808-Ljbffr
$100.00/hr - $110.00/hr
Overview
We are seeking an experienced
Solution Architect – Data
to lead the design, modernization, and optimization of enterprise-scale data systems within a cloud-based data platform. This role is responsible for defining data architecture, ensuring operational excellence, and establishing governance standards to maintain high-quality, reliable, and secure data assets.
The Solution Architect will play a key role in building scalable data platforms, supporting AI-driven solutions, and guiding cloud migration initiatives. This position requires strong technical depth, architectural leadership, and close collaboration with business stakeholders, data engineers, machine learning teams, and domain experts.
The ideal candidate will have a proven track record of delivering end-to-end
ETL/ELT pipelines
across
Databricks, Azure, and AWS
environments.
Key Responsibilities Design and implement scalable
data lake and data architectures
using Databricks and cloud-native services. Develop
metadata-driven, parameterized ingestion frameworks
and multi-layer data architectures. Optimize data pipelines, workloads, and system performance. Define and enforce
data governance frameworks , ensuring data integrity, accuracy, and consistency. Architect and develop robust
ETL/ELT pipelines
and data integration solutions. Design and support
AI-driven data systems , including RAG workflows and prompt engineering. Lead cloud migration initiatives from legacy systems to modern cloud data platforms. Provide architectural guidance, best practices, and technical leadership across engineering teams. Create and maintain documentation, reusable modules, and standardized architecture patterns.
Required Skills & Experience Strong expertise with
cloud platforms , primarily
Azure or AWS . Hands‑on experience with
Databricks . Advanced proficiency in
Python and SQL . Extensive experience building
ETL/ELT pipelines
and
Azure Data Factory (ADF)
workflows. Proven experience designing
data lakes
and implementing
data governance frameworks . Hands‑on experience with
CI/CD pipelines, DevOps practices, and Git‑based development . Ability to translate complex business requirements into scalable technical solutions.
Technical Expertise Programming:
Python, SQL, R Big Data:
Hadoop, Spark, Kafka, Hive Data Warehousing:
Redshift, SQL Server ETL/ELT Tools:
SSIS
Education & Experience Requirements Bachelor’s degree in
Computer Science, Information Technology, Information Systems, Engineering , or a related field. 6+ years of hands‑on experience
in data engineering or .NET development.
Seniority level Mid‑Senior level
Employment type Contract
Job function Information Technology
Industries IT Services and IT Consulting and Government Administration
Referrals increase your chances of interviewing at LanceSoft, Inc. by 2x
Get notified about new Solutions Architect jobs in
Phoenix, AZ .
#J-18808-Ljbffr