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Data Analyst - Sr

In United States

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Data Analyst - Sr   

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JOB TITLE:

Data Analyst - Sr

JOB TYPE:

JOB SKILLS:

JOB LOCATION:

Richmond United States

JOB DESCRIPTION:

Client is currently looking for a Principal Data Architect to join our growing Data Mesh team. This is a critical role that will provide thought leadership in an enterprise-wide data and digital transformation initiative and devise clear roadmaps to deliver next generation data solutions. A successful candidate will be customer-centric with a passion for leveraging modern data architectures and technology to make significant business impacts across organizational boundaries. This technology leader will bring in the experience of SaaS/cloud solutions (Snowflake/Azure), data engineering techniques, DevSecOps automation and best practices in building, maintaining, and enhancing state of the art big data Platforms. Responsibilities: Define and deliver a big-data ecosystem at a large-enterprise scale; assess the data architecture in place and work with core mesh team to continuously enhance and evolve data tech stack. Promote data mesh technology to broad user groups in both technology and business organizations, and partner with key stakeholders to assist with defining the data and analytics strategies. Perform hands-on tasks of implementing data ingestion and transformation framework using Java, Python, and SQL. Ensure all Non-Functional Requirements (e.g., security, performance, availability and DR/fail-over, scalability, compliance etc.) are properly articulated, designed, implemented, and well documented. Define and document data mesh architecture and developmental recommendations, and stay hands-on in developing and maintaining the framework, cookbook, and bootstrap code for data infrastructure as-a platform. Develop short- and long-term architectural strategies and plans for on-boarding data products. Identifies innovations for short- and long-term strategic opportunities. Partner with Data Governance team to ensure the completion and accuracy in metadata collections using Collibra. Evaluate, prototype and recommend emerging Cloud data technologies and platforms from open source or vendors. Independently conduct POC projects. Communicate complex technical topics to non-technical business and senior executives and assist with scoping and architecting cloud data solutions. Qualifications: Required At least 8 years of experience developing data and services in an enterprise and/or cloud environment. Deep understanding of data warehouse, data lake architecture and data management processes. Familiarity with Data Governance practices and tooling such as Collibra. Hands-on expertise of multiple modern cloud storages and services such as Snowflake, Azure SQL, ADLS2, Azure Cosmos DB, MongoDB, CockroachDB, DataStax, or Redis. Working experience using ETL/analytics tools such as Talend, NiFi, dBt, DataBricks, or ADF, etc. Knowledge of on-prem/cloud data virtualization such as Tibco DV, Denodo, Starburst, or Dremio. Skilled in variety of languages such as Java, or Python Experience in writing scripts for Linux shell and Windows PowerShell. Strong organization and communication skills. Bachelor's degree in Computer Science or related discipline.   Preferred Specific Skills: Knowledge of data analytics technology and methodology, such as advanced analytics or machine learning. Experience with DevOps, DataOps and/or MLOps using ADO. Working knowledge of data security such as Voltage, SecuPi, Protegrity. Knowledge of IaC and automation such as Terraform, Ansible. Working experience with Azure and AWS cloud data and service offerings.   About Client: Client provides innovative financial services and guidance to corporations, institutions and affluent families and individuals globally. With over 130 years of financial experience and nearly 20,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service. Working with Us: As a Client partner, you will be part of a flexible and collaborative work culture, which has a strong history of financial strength and stability. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company that is committed to strengthening the communities we serve! We recognize the value of inclusion and diversity in culture, in thought, and in experience, which is why we are honored to receive the following awards in 2021: Gender Equality Index Member, Bloomberg Top Financial & Banking Company, Black EOE Journal, Hispanic Network Magazine, Professional WOMAN'S Magazine We'd love to learn more about how your interests and experience could be a fit with one of America's best banks and most sustainable companies! Build your career with us and apply today. Employee Status: Regular Job Level: Individual Contributor Job Type: Standard

Position Details

POSTED:

Nov 28, 2022

EMPLOYMENT:

INDUSTRY:

SNAPRECRUIT ID:

S16584480786378106

LOCATION:

United States

CITY:

Richmond

Job Origin:

OORWIN_ORGANIC_FEED

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Aug 19, 2017 9am-6pm
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Data Analyst - Sr    Apply

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Client is currently looking for a Principal Data Architect to join our growing Data Mesh team. This is a critical role that will provide thought leadership in an enterprise-wide data and digital transformation initiative and devise clear roadmaps to deliver next generation data solutions. A successful candidate will be customer-centric with a passion for leveraging modern data architectures and technology to make significant business impacts across organizational boundaries. This technology leader will bring in the experience of SaaS/cloud solutions (Snowflake/Azure), data engineering techniques, DevSecOps automation and best practices in building, maintaining, and enhancing state of the art big data Platforms. Responsibilities: Define and deliver a big-data ecosystem at a large-enterprise scale; assess the data architecture in place and work with core mesh team to continuously enhance and evolve data tech stack. Promote data mesh technology to broad user groups in both technology and business organizations, and partner with key stakeholders to assist with defining the data and analytics strategies. Perform hands-on tasks of implementing data ingestion and transformation framework using Java, Python, and SQL. Ensure all Non-Functional Requirements (e.g., security, performance, availability and DR/fail-over, scalability, compliance etc.) are properly articulated, designed, implemented, and well documented. Define and document data mesh architecture and developmental recommendations, and stay hands-on in developing and maintaining the framework, cookbook, and bootstrap code for data infrastructure as-a platform. Develop short- and long-term architectural strategies and plans for on-boarding data products. Identifies innovations for short- and long-term strategic opportunities. Partner with Data Governance team to ensure the completion and accuracy in metadata collections using Collibra. Evaluate, prototype and recommend emerging Cloud data technologies and platforms from open source or vendors. Independently conduct POC projects. Communicate complex technical topics to non-technical business and senior executives and assist with scoping and architecting cloud data solutions. Qualifications: Required At least 8 years of experience developing data and services in an enterprise and/or cloud environment. Deep understanding of data warehouse, data lake architecture and data management processes. Familiarity with Data Governance practices and tooling such as Collibra. Hands-on expertise of multiple modern cloud storages and services such as Snowflake, Azure SQL, ADLS2, Azure Cosmos DB, MongoDB, CockroachDB, DataStax, or Redis. Working experience using ETL/analytics tools such as Talend, NiFi, dBt, DataBricks, or ADF, etc. Knowledge of on-prem/cloud data virtualization such as Tibco DV, Denodo, Starburst, or Dremio. Skilled in variety of languages such as Java, or Python Experience in writing scripts for Linux shell and Windows PowerShell. Strong organization and communication skills. Bachelor's degree in Computer Science or related discipline.   Preferred Specific Skills: Knowledge of data analytics technology and methodology, such as advanced analytics or machine learning. Experience with DevOps, DataOps and/or MLOps using ADO. Working knowledge of data security such as Voltage, SecuPi, Protegrity. Knowledge of IaC and automation such as Terraform, Ansible. Working experience with Azure and AWS cloud data and service offerings.   About Client: Client provides innovative financial services and guidance to corporations, institutions and affluent families and individuals globally. With over 130 years of financial experience and nearly 20,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service. Working with Us: As a Client partner, you will be part of a flexible and collaborative work culture, which has a strong history of financial strength and stability. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company that is committed to strengthening the communities we serve! We recognize the value of inclusion and diversity in culture, in thought, and in experience, which is why we are honored to receive the following awards in 2021: Gender Equality Index Member, Bloomberg Top Financial & Banking Company, Black EOE Journal, Hispanic Network Magazine, Professional WOMAN'S Magazine We'd love to learn more about how your interests and experience could be a fit with one of America's best banks and most sustainable companies! Build your career with us and apply today. Employee Status: Regular Job Level: Individual Contributor Job Type: Standard


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