National Life Group
Sr. Data Solution Architect
National Life Group, Montpelier, Vermont, us, 05604
Sr. Data Solution Architect
Company Summary
Come join one of America’s fastest growing insurance companies with a stable history of 175 years. At National Life Group (“NLG”), we offer a flexible work environment with opportunity for growth. As a mission-driven business, our promises are as important as the products we sell. We encourage our associates to live our values: Do Good. Be Good. Make Good.
Our mission extends beyond the insurance and annuities policies that we sell. Our cause is also to make the world a better place through grants from our charitable foundation, paid time for our employees to volunteer, environmentally sustainable and healthy work sites, and events that promote the work of nonprofits in our own backyard.
We invite you to explore what we have to offer and to join our cause.
Role Summary
The Data Solution Architect role is essential to success of the NLG’s data journey. It aims to address specific data problems and requirements. DSA is the link between business needs, data engineers, and analytics.
Data Solution Architect is responsible for architecting the full data supply chain solution. It includes the platform selection, design of the technical architecture, design of the data model for business solution, deployment approaches and implementation methods. As a key contributor to the NLG Data Governance initiatives, this role will provide data architecture solutions for delivery of trustworthy, high quality and timely data and insights to address specific business objectives. DSA will work with the Data Governance Office, Data Engineers, stakeholders and SMEs across business and IT teams to help define an appropriate solution, including data flows, data quality, governance, security and compliance.
Essential Duties and Responsibilities
Collaborate with stakeholders, enterprise architects and translate high-level business objectives into technical requirements and data solution designs
Understand and oversee technical implementation and processes, including hardware and software, to implement the Data Strategy
Architect and design a high performing data analytics platform that is aligned to the overall enterprise architecture strategy and create a proper foundation for data initiatives
Develop architectural patterns to simplify data solutions and deliver high quality business outcomes
Use data modeling and data analytics skills to understand and leverage relationships among data elements
Lead or participate in technical proofs-of-concept
Lead a team of data modelers and analysts, providing guidance and support throughout the project lifecycle
Detect core issues to be addressed before major time and money investment
Communicate clearly and consistently about data architecture across NLG IT and business, so that all stakeholders know how to use it effectively
Facilitate quality solutions that are secure, performant, compliant, cost effective, and support business continuity objectives. Collaborating with enterprise architecture, application, infrastructure, and security teams to deliver shared outcomes
Develop database solutions to ensure NLG’s information is stored effectively and securely
Produce documentation, artifacts and designs for technical and non-technical audiences
Stay current and provide insight on cutting edge data software approaches, architectures and vendors. Bring thought leadership around recent trends and provide insight into how technology can impact our business and drive competitive advantages
Leverage interpersonal savvy and communication skills to explain technical benefits and trade-offs of proposed data solutions to gain buy in from diverse audiences
Leverage strategic partnerships and vendor relationship management skills to accelerate and improve quality of solutions
Minimum Qualifications
Hands-on experience with solutions and data architecture
Solid foundation in key data modeling methodologies and approaches
7-10 years of working experience with major data warehousing solutions and database technology, such as SQL Server, Databricks, Snowflake
Firm understanding of programming languages like SQL, Python (libraries like Pandas, NumPy, PySpark), Java, PHP, R
Expertise in ETL/ELT architecture, implementation and performance tuning of mappings, jobs, transformations
Hands-on experience working with ETL tools such Talend or others
Proven track record of designing solutions for data warehouses with a good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS and knowledge of NoSQL platforms
Experience with Data, Big Data and Analytics architecture and ecosystem on premise, hybrid or cloud-based environments
Deep understanding of Azure, AWS, Snowflake, DataBricks and other cloud technologies
Experience with cloud computing and database technologies, including evaluating platform and stack architecture along with knowledge of industry best practices
Knowledge of key Business Intelligence and Data Analytics tools, such as Tableau, PowerBI, Alteryx and others
Experience with data profiling, lineage and metadata management techniques and tools
Understanding of data governance, data quality and metadata management fundamentals and technologies
All other duties as assigned.
This position currently offers an onsite hybrid work schedule, with the expectation that you are in the office four days per week during onsite core days. Our current onsite core days are Monday, Tuesday, Wednesday, and Thursday. The work schedule type and core days are subject to change with advance notification and manager discretion.
Benefits
Your benefits start day one and are flexible and customizable to your and your family’s specific needs. Check out the BENEFITS of a Career at National Life!
#J-18808-Ljbffr
Company Summary
Come join one of America’s fastest growing insurance companies with a stable history of 175 years. At National Life Group (“NLG”), we offer a flexible work environment with opportunity for growth. As a mission-driven business, our promises are as important as the products we sell. We encourage our associates to live our values: Do Good. Be Good. Make Good.
Our mission extends beyond the insurance and annuities policies that we sell. Our cause is also to make the world a better place through grants from our charitable foundation, paid time for our employees to volunteer, environmentally sustainable and healthy work sites, and events that promote the work of nonprofits in our own backyard.
We invite you to explore what we have to offer and to join our cause.
Role Summary
The Data Solution Architect role is essential to success of the NLG’s data journey. It aims to address specific data problems and requirements. DSA is the link between business needs, data engineers, and analytics.
Data Solution Architect is responsible for architecting the full data supply chain solution. It includes the platform selection, design of the technical architecture, design of the data model for business solution, deployment approaches and implementation methods. As a key contributor to the NLG Data Governance initiatives, this role will provide data architecture solutions for delivery of trustworthy, high quality and timely data and insights to address specific business objectives. DSA will work with the Data Governance Office, Data Engineers, stakeholders and SMEs across business and IT teams to help define an appropriate solution, including data flows, data quality, governance, security and compliance.
Essential Duties and Responsibilities
Collaborate with stakeholders, enterprise architects and translate high-level business objectives into technical requirements and data solution designs
Understand and oversee technical implementation and processes, including hardware and software, to implement the Data Strategy
Architect and design a high performing data analytics platform that is aligned to the overall enterprise architecture strategy and create a proper foundation for data initiatives
Develop architectural patterns to simplify data solutions and deliver high quality business outcomes
Use data modeling and data analytics skills to understand and leverage relationships among data elements
Lead or participate in technical proofs-of-concept
Lead a team of data modelers and analysts, providing guidance and support throughout the project lifecycle
Detect core issues to be addressed before major time and money investment
Communicate clearly and consistently about data architecture across NLG IT and business, so that all stakeholders know how to use it effectively
Facilitate quality solutions that are secure, performant, compliant, cost effective, and support business continuity objectives. Collaborating with enterprise architecture, application, infrastructure, and security teams to deliver shared outcomes
Develop database solutions to ensure NLG’s information is stored effectively and securely
Produce documentation, artifacts and designs for technical and non-technical audiences
Stay current and provide insight on cutting edge data software approaches, architectures and vendors. Bring thought leadership around recent trends and provide insight into how technology can impact our business and drive competitive advantages
Leverage interpersonal savvy and communication skills to explain technical benefits and trade-offs of proposed data solutions to gain buy in from diverse audiences
Leverage strategic partnerships and vendor relationship management skills to accelerate and improve quality of solutions
Minimum Qualifications
Hands-on experience with solutions and data architecture
Solid foundation in key data modeling methodologies and approaches
7-10 years of working experience with major data warehousing solutions and database technology, such as SQL Server, Databricks, Snowflake
Firm understanding of programming languages like SQL, Python (libraries like Pandas, NumPy, PySpark), Java, PHP, R
Expertise in ETL/ELT architecture, implementation and performance tuning of mappings, jobs, transformations
Hands-on experience working with ETL tools such Talend or others
Proven track record of designing solutions for data warehouses with a good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS and knowledge of NoSQL platforms
Experience with Data, Big Data and Analytics architecture and ecosystem on premise, hybrid or cloud-based environments
Deep understanding of Azure, AWS, Snowflake, DataBricks and other cloud technologies
Experience with cloud computing and database technologies, including evaluating platform and stack architecture along with knowledge of industry best practices
Knowledge of key Business Intelligence and Data Analytics tools, such as Tableau, PowerBI, Alteryx and others
Experience with data profiling, lineage and metadata management techniques and tools
Understanding of data governance, data quality and metadata management fundamentals and technologies
All other duties as assigned.
This position currently offers an onsite hybrid work schedule, with the expectation that you are in the office four days per week during onsite core days. Our current onsite core days are Monday, Tuesday, Wednesday, and Thursday. The work schedule type and core days are subject to change with advance notification and manager discretion.
Benefits
Your benefits start day one and are flexible and customizable to your and your family’s specific needs. Check out the BENEFITS of a Career at National Life!
#J-18808-Ljbffr