

Aklip Technologies
Senior Data Architect
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Architect in Minneapolis, MN, offering a contract of more than 6 months at a competitive pay rate. Requires 10+ years in data architecture, strong Azure expertise, and experience in BFSI or Telecom domains.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
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ποΈ - Date
October 1, 2025
π - Duration
More than 6 months
-
ποΈ - Location
On-site
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π - Contract
Unknown
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π - Security
Unknown
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π - Location detailed
Minneapolis, MN
-
π§ - Skills detailed
#Spark (Apache Spark) #Tableau #Synapse #SQL (Structured Query Language) #Databricks #Data Lake #Data Modeling #Computer Science #Python #ADF (Azure Data Factory) #Data Science #Scala #Security #Cloud #Automation #Azure cloud #Data Integration #Microsoft Power BI #Compliance #BI (Business Intelligence) #Azure #Data Engineering #Leadership #DevOps #ML (Machine Learning) #"ETL (Extract #Transform #Load)" #Data Processing #Snowflake #PySpark #Data Architecture #Data Governance #API (Application Programming Interface) #Looker #Data Warehouse #AI (Artificial Intelligence) #Physical Data Model #NoSQL #Strategy
Role description
Title: Data Architect/Technical Program Manager with Azure
Client Domain: Banking
Location: Minneapolis, MN (3-4 Days Onsite in a Week)
Job type: Contract/Full-time
Need Local candidates
Job Summary
We are looking for a highly skilled Data Architect with strong Technical Program Management (TPM) capabilities, deep data modeling expertise, and hands-on experience with Azure Cloud. The ideal candidate will architect scalable data solutions, manage cross-functional programs, and ensure the delivery of enterprise-grade data platforms that enable analytics, AI/ML, and business intelligence initiatives.
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Key Responsibilities
β’ Define and own the data architecture strategy leveraging Azure cloud services (Azure Synapse, Data Factory, Databricks, Data Lake, Cosmos DB, etc.).
β’ Design, implement, and optimize conceptual, logical, and physical data models to support data warehouse, lakehouse, and transactional systems.
β’ Partner with business stakeholders, product owners, and engineering teams to translate requirements into scalable architecture.
β’ Act as a Technical Program Manager (TPM) to oversee planning, execution, and delivery of large-scale data programs, managing dependencies and risks.
β’ Ensure adherence to data governance, security, compliance, and performance standards.
β’ Provide architectural guidance for ETL/ELT pipelines, data integrations, and API-driven architectures.
β’ Collaborate with enterprise architects, cloud engineers, and data scientists to enable advanced analytics and AI/ML workloads.
β’ Mentor and guide data engineers and modelers in best practices.
β’ Monitor emerging technologies and propose enhancements to improve scalability and efficiency.
\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
Required Qualifications
β’ 10+ years of experience in data architecture and engineering, with at least 3+ years in a TPM or leadership capacity.
β’ Strong expertise in Azure Cloud Services: Azure Synapse, ADF, Databricks, Data Lake, SQL Database, Cosmos DB.
β’ Advanced knowledge of data modeling techniques (dimensional, relational, star/snowflake schema, NoSQL).
β’ Proven experience leading large-scale data programs/projects with cross-functional teams.
β’ Proficiency in SQL, Python, and/or PySpark for data processing and modeling validation.
β’ Excellent communication, stakeholder management, and program leadership skills.
\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
Preferred Qualifications
β’ Experience in BFSI, Wealth Management, or Telecom domains.
β’ Azure Certifications (Data Engineer Associate, Solutions Architect, or Data Scientist).
β’ Familiarity with CI/CD pipelines, DevOps practices, and automation for data solutions.
β’ Knowledge of BI/Analytics tools such as Power BI, Tableau, or Looker.
\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
Education
β’ Bachelorβs or Masterβs degree in Computer Science, Data Engineering, or a related field.
Title: Data Architect/Technical Program Manager with Azure
Client Domain: Banking
Location: Minneapolis, MN (3-4 Days Onsite in a Week)
Job type: Contract/Full-time
Need Local candidates
Job Summary
We are looking for a highly skilled Data Architect with strong Technical Program Management (TPM) capabilities, deep data modeling expertise, and hands-on experience with Azure Cloud. The ideal candidate will architect scalable data solutions, manage cross-functional programs, and ensure the delivery of enterprise-grade data platforms that enable analytics, AI/ML, and business intelligence initiatives.
\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
Key Responsibilities
β’ Define and own the data architecture strategy leveraging Azure cloud services (Azure Synapse, Data Factory, Databricks, Data Lake, Cosmos DB, etc.).
β’ Design, implement, and optimize conceptual, logical, and physical data models to support data warehouse, lakehouse, and transactional systems.
β’ Partner with business stakeholders, product owners, and engineering teams to translate requirements into scalable architecture.
β’ Act as a Technical Program Manager (TPM) to oversee planning, execution, and delivery of large-scale data programs, managing dependencies and risks.
β’ Ensure adherence to data governance, security, compliance, and performance standards.
β’ Provide architectural guidance for ETL/ELT pipelines, data integrations, and API-driven architectures.
β’ Collaborate with enterprise architects, cloud engineers, and data scientists to enable advanced analytics and AI/ML workloads.
β’ Mentor and guide data engineers and modelers in best practices.
β’ Monitor emerging technologies and propose enhancements to improve scalability and efficiency.
\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
Required Qualifications
β’ 10+ years of experience in data architecture and engineering, with at least 3+ years in a TPM or leadership capacity.
β’ Strong expertise in Azure Cloud Services: Azure Synapse, ADF, Databricks, Data Lake, SQL Database, Cosmos DB.
β’ Advanced knowledge of data modeling techniques (dimensional, relational, star/snowflake schema, NoSQL).
β’ Proven experience leading large-scale data programs/projects with cross-functional teams.
β’ Proficiency in SQL, Python, and/or PySpark for data processing and modeling validation.
β’ Excellent communication, stakeholder management, and program leadership skills.
\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
Preferred Qualifications
β’ Experience in BFSI, Wealth Management, or Telecom domains.
β’ Azure Certifications (Data Engineer Associate, Solutions Architect, or Data Scientist).
β’ Familiarity with CI/CD pipelines, DevOps practices, and automation for data solutions.
β’ Knowledge of BI/Analytics tools such as Power BI, Tableau, or Looker.
\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
Education
β’ Bachelorβs or Masterβs degree in Computer Science, Data Engineering, or a related field.