Data Architect (Data Scientist)
Note:
We need a strong Data leader who has worked on Data migration from Onprem SQL to Azure platform using Databricks , pyspark technologies.
Experience in Snowflake is good to have.
POSITION OVERVIEW :
Technical Soln.
Data Arch.
Director POSITION GENERAL DUTIES AND TASKS :
Masters or Bachelor's degree or equivalent work experience in Computer Science, Data Science, Management Information Systems, Engineering, Statistics or Analytic, MBA preferred.
15
years of hands-on experience, including 7
years in leadership roles, creating and leading performant data organizations, managing data delivery and analytics, data warehousing, data lakes, data infrastructure and operations, data governance and BI, ML and data science.
Facilitate the establishment and execution of the roadmap and vision for information delivery and management; including the enterprise data warehouse, big data, BI & analytics and data management.
Lead data architects and data engineers to architect and deliver the solutions that fulfill the Business information needs and align with the information vision and strategy.
Apply business strategy while driving technology strategy, balancing short term and long term needs to ensure that the architecture can scale and evolve accordingly.
Provide advice, guidance, direction, and authorization to carry out major plans and procedures to ensure schedule attainment, product development process adherence, and performance and budget targets are met.
Experience in monetizing data, using AI/ML for data-driven business models and applications.
Demonstrated leadership skills, working in a highly matrixed, heavily outsourced organization through a combination of influence, partnership and inspiration.
Ability to grow teams by attracting and developing talent, coaching and mentoring.
Understanding of advanced analytics and data science techniques and experience with SAS, Tableau, PowerBI, SageMaker, Azure ML, RapidMiner or others.
Collaborate with stakeholders to develop data-centric technologies that support cost reduction, security, risk mitigation, revenue generation and improvement in delivery.
Provide deep data knowledge and expertise encompassing advanced data analytics, supporting infrastructure, automation, AI and application technologies.
Own data architecture strategy and contribute to cloud architecture design and solutioning Experience with technologies, such as MS SSIS, ETL, DataBricks, Snowflake, Big Data tech stacks, RDMBS, NoSQL, SQL, Python or R Role
Responsibilities:
- Facilitate the establishment and execution of the roadmap and vision for information delivery and management; including the enterprise data warehouse, big data, BI & analytics and data management.
- Lead data architects and data engineers to architect and deliver the solutions that fulfill the Business information needs and align with the information vision and strategy.
- Apply business strategy while driving technology strategy, balancing short term and long term needs to ensure that the architecture can scale and evolve accordingly.
- Provide advice, guidance, direction, and authorization to carry out major plans and procedures to ensure schedule attainment, product development process adherence, and performance and budget targets are met.
- Monetize data, using AI/ML for data-driven business models and applications.
- Demonstrated leadership skills, working in a highly matrixed, heavily outsourced organization through a combination of influence, partnership and inspiration.
- Ability to grow teams by attracting and developing talent, coaching and mentoring.
- Understanding of advanced analytics and data science techniques and experience with SAS, Tableau, PowerBI, SageMaker, Azure ML, RapidMiner or others.
- Collaborate with stakeholders to develop data-centric technologies that support cost reduction, security, risk mitigation, revenue generation and improvement in delivery.
- Provide deep data knowledge and expertise encompassing advanced data analytics, supporting infrastructure, automation, AI and application technologies.
- Own data architecture strategy and contribute to cloud architecture design and solutioningBasic
Qualifications:
- 15
years of hands-on IT experience- 7
years in leadership roles, creating and leading performant data organizations, managing data delivery and analytics, data warehousing, data lakes, data infrastructure and operations, data governance and BI, ML and data science.
- Technologies such as MS SSIS, ETL, DataBricks, Snowflake, Big Data tech stacks, RDMBS, NoSQL, SQL, Python or RNice to have:
- Financial services experience, preferably life insurance and annuity.
Education:
- Masters or Bachelor's degree or equivalent work experience in Computer Science, Data Science, Management Information Systems, Engineering, Statistics or Analytic, MBA preferred.
Data Architect (Data Scientist) Recommended Skills Analytical Architecture Artificial Intelligence Automation Big Data Business Informatics Estimated Salary: $20 to $28 per hour based on qualifications.
We need a strong Data leader who has worked on Data migration from Onprem SQL to Azure platform using Databricks , pyspark technologies.
Experience in Snowflake is good to have.
POSITION OVERVIEW :
Technical Soln.
Data Arch.
Director POSITION GENERAL DUTIES AND TASKS :
Masters or Bachelor's degree or equivalent work experience in Computer Science, Data Science, Management Information Systems, Engineering, Statistics or Analytic, MBA preferred.
15
years of hands-on experience, including 7
years in leadership roles, creating and leading performant data organizations, managing data delivery and analytics, data warehousing, data lakes, data infrastructure and operations, data governance and BI, ML and data science.
Facilitate the establishment and execution of the roadmap and vision for information delivery and management; including the enterprise data warehouse, big data, BI & analytics and data management.
Lead data architects and data engineers to architect and deliver the solutions that fulfill the Business information needs and align with the information vision and strategy.
Apply business strategy while driving technology strategy, balancing short term and long term needs to ensure that the architecture can scale and evolve accordingly.
Provide advice, guidance, direction, and authorization to carry out major plans and procedures to ensure schedule attainment, product development process adherence, and performance and budget targets are met.
Experience in monetizing data, using AI/ML for data-driven business models and applications.
Demonstrated leadership skills, working in a highly matrixed, heavily outsourced organization through a combination of influence, partnership and inspiration.
Ability to grow teams by attracting and developing talent, coaching and mentoring.
Understanding of advanced analytics and data science techniques and experience with SAS, Tableau, PowerBI, SageMaker, Azure ML, RapidMiner or others.
Collaborate with stakeholders to develop data-centric technologies that support cost reduction, security, risk mitigation, revenue generation and improvement in delivery.
Provide deep data knowledge and expertise encompassing advanced data analytics, supporting infrastructure, automation, AI and application technologies.
Own data architecture strategy and contribute to cloud architecture design and solutioning Experience with technologies, such as MS SSIS, ETL, DataBricks, Snowflake, Big Data tech stacks, RDMBS, NoSQL, SQL, Python or R Role
Responsibilities:
- Facilitate the establishment and execution of the roadmap and vision for information delivery and management; including the enterprise data warehouse, big data, BI & analytics and data management.
- Lead data architects and data engineers to architect and deliver the solutions that fulfill the Business information needs and align with the information vision and strategy.
- Apply business strategy while driving technology strategy, balancing short term and long term needs to ensure that the architecture can scale and evolve accordingly.
- Provide advice, guidance, direction, and authorization to carry out major plans and procedures to ensure schedule attainment, product development process adherence, and performance and budget targets are met.
- Monetize data, using AI/ML for data-driven business models and applications.
- Demonstrated leadership skills, working in a highly matrixed, heavily outsourced organization through a combination of influence, partnership and inspiration.
- Ability to grow teams by attracting and developing talent, coaching and mentoring.
- Understanding of advanced analytics and data science techniques and experience with SAS, Tableau, PowerBI, SageMaker, Azure ML, RapidMiner or others.
- Collaborate with stakeholders to develop data-centric technologies that support cost reduction, security, risk mitigation, revenue generation and improvement in delivery.
- Provide deep data knowledge and expertise encompassing advanced data analytics, supporting infrastructure, automation, AI and application technologies.
- Own data architecture strategy and contribute to cloud architecture design and solutioningBasic
Qualifications:
- 15
years of hands-on IT experience- 7
years in leadership roles, creating and leading performant data organizations, managing data delivery and analytics, data warehousing, data lakes, data infrastructure and operations, data governance and BI, ML and data science.
- Technologies such as MS SSIS, ETL, DataBricks, Snowflake, Big Data tech stacks, RDMBS, NoSQL, SQL, Python or RNice to have:
- Financial services experience, preferably life insurance and annuity.
Education:
- Masters or Bachelor's degree or equivalent work experience in Computer Science, Data Science, Management Information Systems, Engineering, Statistics or Analytic, MBA preferred.
Data Architect (Data Scientist) Recommended Skills Analytical Architecture Artificial Intelligence Automation Big Data Business Informatics Estimated Salary: $20 to $28 per hour based on qualifications.
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