

Senior Data Architect
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Architect on a contract basis in NJ, NY, or PA, requiring 15+ years of IT experience, including 10+ years in data architecture. Key skills include SQL, data modeling, data governance, and cloud data services expertise.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
September 4, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
New Jersey, United States
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π§ - Skills detailed
#Data Strategy #Data Architecture #SQL (Structured Query Language) #Storage #Spark SQL #Redshift #Data Management #Informatica #RDBMS (Relational Database Management System) #Scala #Databricks #Spark (Apache Spark) #ERWin #PySpark #RDS (Amazon Relational Database Service) #SaaS (Software as a Service) #Data Analysis #NoSQL #Databases #Snowflake #Oracle #Strategy #Data Engineering #Data Mapping #Leadership #Big Data #Cloud #"ETL (Extract #Transform #Load)" #Hadoop #Data Modeling #Data Governance #Physical Data Model #Data Pipeline #Presto
Role description
Job Title: Sr. Solution Architect
Location: NJ,NY,PA
Employment Type: Contract
Experience: 10+yrs
A self-starter who is fueled by collaboration, able to transform conceptual designs into reliable, scalable processes that meet or exceed customer needs. An individual who works closely with IT and business leaders across the enterprise to drive and embed the Enterprise Data Strategy into transformational roadmaps ensuring key principles of Data Governance, Data Management, Data Analytics and Architecture are implemented.
You have
β’ 15+ Years of IT experience, with 10+ years of experience as a Data Architect, data engineer or other data professional
β’ Solid grasp of data architecture principles, patterns, data modeling and data governance.
β’ Knowledgeable on best practices to managing data in large environments.
β’ Expert Relational database concepts and experience across multiple database technologies (e.g., SQL, NoSQL, Oracle, Hadoop, Postgres) environments.
β’ Expert Proficiency in data modelling tools -- preferably Erwin and strong Logical and Physical Data Modelling experience
β’ Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform.
β’ Hands on experience designing, building, and optimizing data pipelines, architecture for large scale data warehousing projects.
β’ Experience with cloud data services such as Redshift, Relational database services (RDS), Snowflake and Databricks.
β’ Demonstrated expertise with data sourcing, profiling, data mapping and data analysis.
β’ Strong SQL, PL/SQL experience and skilled in creating and optimizing queries and data structures.
β’ Knowledge of ETL concepts, preferably Informatica or Syncsort
β’ Experience with one or more SQL-on-Hadoop technology (HIVE, Presto, Spark SQL, Databricks) and Hadoop ecosystem.
β’ Ability to design cloud and on premise data solutions and provide guidance across storage, big data platform services, Big Data ecosystem, vendor SaaS integrations, RDBMS and NoSQL databases is a plus.
β’ Excellent written and verbal communication skills and creative problem-solving skills.
β’ Ability to adapt to changing business priorities and experience with effectively communicating change across different levels in the organization.
β’ Communication Skills: Articulate the vision and goals, both to the team members and other stakeholders.
β’ Emotional Intelligence & Empathy: Motivate, inspire, and resolve conflicts with others while building a positive rapport with team members and partners.
β’ Collaboration: Collaborate effectively with the Product Manager and your leadership and keep appraised with key updates and planning. Encourage partnership between team members to create a more dynamic and effective work environment.
β’ Strong listeners and able to provide constructive feedback.
β’ SAFe experience and the ability to work on a cross functional, self-organizing development teams is a plus.
β’ Significant experience interfacing with both customers and management across business and IT
Job Title: Sr. Solution Architect
Location: NJ,NY,PA
Employment Type: Contract
Experience: 10+yrs
A self-starter who is fueled by collaboration, able to transform conceptual designs into reliable, scalable processes that meet or exceed customer needs. An individual who works closely with IT and business leaders across the enterprise to drive and embed the Enterprise Data Strategy into transformational roadmaps ensuring key principles of Data Governance, Data Management, Data Analytics and Architecture are implemented.
You have
β’ 15+ Years of IT experience, with 10+ years of experience as a Data Architect, data engineer or other data professional
β’ Solid grasp of data architecture principles, patterns, data modeling and data governance.
β’ Knowledgeable on best practices to managing data in large environments.
β’ Expert Relational database concepts and experience across multiple database technologies (e.g., SQL, NoSQL, Oracle, Hadoop, Postgres) environments.
β’ Expert Proficiency in data modelling tools -- preferably Erwin and strong Logical and Physical Data Modelling experience
β’ Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform.
β’ Hands on experience designing, building, and optimizing data pipelines, architecture for large scale data warehousing projects.
β’ Experience with cloud data services such as Redshift, Relational database services (RDS), Snowflake and Databricks.
β’ Demonstrated expertise with data sourcing, profiling, data mapping and data analysis.
β’ Strong SQL, PL/SQL experience and skilled in creating and optimizing queries and data structures.
β’ Knowledge of ETL concepts, preferably Informatica or Syncsort
β’ Experience with one or more SQL-on-Hadoop technology (HIVE, Presto, Spark SQL, Databricks) and Hadoop ecosystem.
β’ Ability to design cloud and on premise data solutions and provide guidance across storage, big data platform services, Big Data ecosystem, vendor SaaS integrations, RDBMS and NoSQL databases is a plus.
β’ Excellent written and verbal communication skills and creative problem-solving skills.
β’ Ability to adapt to changing business priorities and experience with effectively communicating change across different levels in the organization.
β’ Communication Skills: Articulate the vision and goals, both to the team members and other stakeholders.
β’ Emotional Intelligence & Empathy: Motivate, inspire, and resolve conflicts with others while building a positive rapport with team members and partners.
β’ Collaboration: Collaborate effectively with the Product Manager and your leadership and keep appraised with key updates and planning. Encourage partnership between team members to create a more dynamic and effective work environment.
β’ Strong listeners and able to provide constructive feedback.
β’ SAFe experience and the ability to work on a cross functional, self-organizing development teams is a plus.
β’ Significant experience interfacing with both customers and management across business and IT