Role at a glance
- Job function
-
AI & Data Data Analytics
- Salary
- Not Disclosed
- Location
- Quincy, Massachusetts, United States
- Employment
- Full-time
- Experience
- Candidate must have experience working with Snowflake and 5+ years of experience in Data Analytics, & Integration projects.
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Role Summary
The Data Analytics (Snowflake) Technical Engineering Lead, AVP plans, designs, develops, and maintains data architecture, data models, and standards for Snowflake analytics and integration projects. The role also supports a global team in building and maintaining platform automation and self-service capabilities.
What You'll Do
- Incorporate new features and model subject areas to integrate with existing data structures.
- Create and continually enhance documentation for deployments, data architectures, data flows, data models, and implementation best...
- Develop and maintain automation for platform self-service and management capabilities.
- Create high-level solution designs and architecture, including infrastructure diagrams, and guide projects on platform fit.
- Support Snowflake account creation and project onboarding while enforcing enterprise security and compliance standards.
- Work with vendors, production management, cloud teams, and application development teams to address environment and database automation...
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View full postingQualifications
Required qualifications include Snowflake experience and 5+ years in Data Analytics and Integration projects; end-to-end Snowflake cloud data warehouse implementation on AWS and Azure; advanced Snowflake administration, modeling, SQL, ELT, migration, security, performance tuning, and cost governance; CI/CD and infrastructure-as-code experience with tools including Git, Terraform, Ansible, and Python; experience with AWS and Azure data services, data pipelines, and relational data stores; and strong communication, leadership, critical-thinking, and problem-solving skills.
Required
- Experience working with Snowflake and 5+ years of experience in Data Analytics and Integration projects.
- Prior end-to-end implementation of Snowflake cloud data warehouses on AWS and Azure; GCP is optional.
- Expertise in Snowflake resource monitors, RBAC, virtual warehouse sizing, query performance tuning, zero-copy clone, time travel, and...
- Snowflake data modeling, ELT using Snowflake SQL, complex stored procedures, and standard data warehouse and ETL concepts.
- Development and management of CI/CD pipelines using Git repositories and DevOps for infrastructure-as-code deployments, including...
- Hands-on experience with Snowflake utilities such as SnowSQL and SnowPipe; scripting or industry-standard tools for big-data migration;...
- Understanding of relational data stores and methods such as star, snowflake, and dimensional modeling; some NoSQL experience is optional.
- Experience with data security and access-control design, and AWS and Azure PaaS and data storage technologies such as S3 and ADLS.
Preferred
- Snowflake cloud data warehouse Architect certification.
- Understanding and working knowledge of Databricks.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Who we are looking for Why this role is important to us
We are looking for a Data Analytics (Snowflake) Technical Engineering Lead, AVP to join our Data Platform Engineering team, whose mission is to engineer and deliver self-service, performant and resilient data services platform to enable world class product development.
Why this role is important to us
We are looking for an experienced Snowflake technical engineering leader who will be responsible for planning, designing, developing and maintaining the data architecture, data models and best practices standards for various Data Analytics & Integration projects in Snowflake.
What you will be responsible for
You will be responsible to incorporate new features and ensure all subject areas are modelled to integrate with existing structures.
You will be expected to create & continuously enhance documentation of the deployments & best practices pertaining to implementation of data architectures, data flows and data models in the platform.
You will work within a global team to develop and maintain automation that enable self-service & management capabilities of the platform as part of the operating model. This role requires a broad range of skills and the ability to step into different roles depending on the size and scope of the projects.
What we value
These skills will help you succeed in this role
- The candidate must exhibit ability to lead and successfully complete multiple, complex technical projects and create high-level design and architecture of the solution - includes design & deployment infrastructure diagrams.
- Be a self-starter and take ownership of technical solutions from design and architecture perspective for projects, help navigate complex use-cases to provide guidance on fit-for-platform
- Deliver using an Onshore/Offshore model in a matrix org structure
- Gather end user requirements and writing technical documentation
- Provide innovative solutions based on new technologies and latest product features.
- Work closely with application development team to understand the business, capture requirements, identify pain areas, accordingly, propose an ideal solution to grow business.
- Managing pipelines using Terraform scripts to deploy resources
- Provide engineering analysis and support for creating Snowflake accounts and onboarding new projects – ensuring enterprise security/compliance standards are strictly enforced.
- Provide Administrative support closely working with vendor for any environment issues.
- Understand the needs of automation and put forth options for solutions.
- Work with production management and cloud teams to analyze and provide solutions for database related automation and solution
Education and preferred qualifications
- Candidate must have experience working with Snowflake and 5+ years of experience in Data Analytics, & Integration projects.
- Must have prior experience with end to end implementation of Snowflake cloud data warehouse – on AWS & Azure, optionally on GCP.
- Skills & experience must include deep expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, Zero copy clone, time travel, cost governance, and be able to provide guidance on how to use these features
- Should be well versed in in Snowflake - data modelling, ELT using Snowflake SQL, implementing complex stored Procedures and standard DWH and ETL concepts
- Experience in development and management of CI/CD pipelines using GIT repositories and DevOps for Infrastructure-as-Code deployments (terraform, ansible, python, etc.)
- Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, other bigdata migration techniques using scripting (python, etc.) or industry standards tools (golden gate etc.)
- Experience in Data Migration from RDBMS to Snowflake cloud data warehouse
- Deep understanding of relational and optionally some of the industry standard NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling etc.)
- Experience with data security and data access controls and design – be able to implement best practices based on organization policies & requirements, at the same time making it simple for users.
- Experience with AWS and Azure PaaS, data storage and management technologies such as S3 and ADLS
- Build processes supporting data transformation, data structures, metadata, dependency and workload management
- Must be Proficient in reviewing complex SQL code to tune, troubleshoot & resolve performance challenges in the environment or applications.
- Provide resolution to an extensive range of complicated data pipeline related problems, proactively and as issues surface. Should be able to go wider across infrastructure, platform, & application domains to resolve issues.
- Strong written communication skills. Is effective and persuasive in both written and oral communication.
- Is able to lead devops/automation resources in delivering self-service capabilities
- Strong critical thinking and problem solving skills. Ability to be open to discussion of potential options.
- Demonstrates solid knowledge of the overall software development life cycle including development, testing and deployment of all application modules
- Ability to work independently in a fast-paced development environment
- Good to be Certified Snowflake cloud data warehouse Architect.
- Understanding and working knowledge of Databricks
Salary Range:
$120,000 - $202,500 AnnualThe range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
For a full overview, visit https://hrportal.ehr.com/statestreet/Home.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
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About the company
State Street
Large Enterprise
State Street is a leading financial services and bank holding company, headquartered in Boston, Massachusetts. With a strong focus on investment management and servicing solutions, State Street supports institutional investors worldwide by providing services such as asset management, investment research, and trading. Renowned for its commitment to innovation and sustainability, State Street leverages advanced technology and data analytics to enhance investment strategies and customer experiences. The company prioritizes diversity and inclusion within its workforce, reflecting its dedication to fostering a dynamic and collaborative environment.