Lead Data Engineer - Snowflake
Capgemini, Atlanta, GA, United States
Lead Data Engineer - Snowflake
Capgemini is hiring a Senior Snowflake Data engineer in Miami Florida. The ideal candidate should be able to design, build, and maintain reliable data pipelines, models, and platforms to support analytics, reporting, and data-driven applications.
Job Location
Candidate must be local to Miami Florida and willing to go to office.
Your role
Data Pipeline Development: Design, build, and optimize complex data pipelines and data warehouse solutions (using Snowflake, dbt, Python, and Matillion (or similar ELT/ETL tools)).
Architecting new patterns within Snowflake, defining standards and reference architecture within Snowflake.
Cloud Migration: Transition legacy systems to cloud-based data solutions.
Data Governance & Quality: Ensure high standards in data governance, security, and validation.
Stakeholder Collaboration: Work with senior management to align data engineering efforts with business needs.
Team Leadership: Lead or coach team members (particularly for Manager roles).
Skills and experience
Education: Bachelor's degree in Computer Science, Business Management, or Industrial Engineering.
Minimum 5+ years developing and implementing data warehouses or cloud data solutions.
2+ years managing a team in a data engineering capacity.
Must have 2+ years Snowflake architectural experience.
Technical Skills: Strong proficiency in SQL, Python, and scripting languages (PowerShell).
Tools: Experience with Snowflake, dbt, Matillion, or similar ELT/ETL tools.
Methodologies: Experience with Agile methodologies and tools like JIRA.
The base compensation range for this role in the posted location is: $134,000 - $177,000.
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Benefits
Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave.
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada).
Life and disability insurance.
Employee assistance programs.
Other benefits as provided by local policy and eligibility.
Important Notice
Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Equal Opportunity Employer
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
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Capgemini is hiring a Senior Snowflake Data engineer in Miami Florida. The ideal candidate should be able to design, build, and maintain reliable data pipelines, models, and platforms to support analytics, reporting, and data-driven applications.
Job Location
Candidate must be local to Miami Florida and willing to go to office.
Your role
Data Pipeline Development: Design, build, and optimize complex data pipelines and data warehouse solutions (using Snowflake, dbt, Python, and Matillion (or similar ELT/ETL tools)).
Architecting new patterns within Snowflake, defining standards and reference architecture within Snowflake.
Cloud Migration: Transition legacy systems to cloud-based data solutions.
Data Governance & Quality: Ensure high standards in data governance, security, and validation.
Stakeholder Collaboration: Work with senior management to align data engineering efforts with business needs.
Team Leadership: Lead or coach team members (particularly for Manager roles).
Skills and experience
Education: Bachelor's degree in Computer Science, Business Management, or Industrial Engineering.
Minimum 5+ years developing and implementing data warehouses or cloud data solutions.
2+ years managing a team in a data engineering capacity.
Must have 2+ years Snowflake architectural experience.
Technical Skills: Strong proficiency in SQL, Python, and scripting languages (PowerShell).
Tools: Experience with Snowflake, dbt, Matillion, or similar ELT/ETL tools.
Methodologies: Experience with Agile methodologies and tools like JIRA.
The base compensation range for this role in the posted location is: $134,000 - $177,000.
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Benefits
Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave.
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada).
Life and disability insurance.
Employee assistance programs.
Other benefits as provided by local policy and eligibility.
Important Notice
Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Equal Opportunity Employer
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
#J-18808-Ljbffr