Snowflake ETL Technical Lead

CGI•Atlanta, GA

About The Position

Position Description: We are seeking a highly experienced Senior Snowflake ETL Developer / Technical Lead to lead the design, development, and delivery of complex, enterprise-scale data platforms and analytics solutions. This role combines deep technical expertise in Snowflake and modern ETL frameworks with strong leadership and product management capabilities. The ideal candidate will lead technical development teams and act as the product owner for the data application, ensuring alignment with business strategy, scalability requirements, and long-term platform evolution. Your future duties and responsibilities: Technical Leadership & Architecture . Lead the design and implementation of large-scale Snowflake data warehouse solutions . Design and build highly scalable, secure, and optimized ETL/ELT pipelines . Define data modeling strategies (Dimensional, Data Vault, Hybrid models) . Establish best practices for data ingestion, transformation, orchestration, and performance tuning . Ensure data quality, governance, lineage, and compliance standards . Drive CI/CD, DevOps, and Infrastructure-as-Code strategies for data platforms . Review code, mentor developers, and enforce engineering excellence standards ETL / Data Engineering . Develop and optimize complex ETL/ELT workflows using tools such as: Snowflake (Tasks, Streams, Snowpipe) Python / SQL / Spark . Integrate structured and semi-structured data (JSON, XML, Parquet, etc.) . Design real-time and batch data pipelines . Optimize query performance and warehouse cost efficiency in Snowflake . Implement data validation, reconciliation, and monitoring frameworks Product Management & Stakeholder Leadership . Act as the product owner for the data application/platform . Gather and translate business requirements into scalable technical solutions . Define product roadmaps and prioritize enhancements . Manage cross-functional stakeholders including business teams, analytics, and IT . Ensure deliverables meet business KPIs and SLAs . Drive continuous improvement and innovation in data solutions Project & Team Leadership . Coordinate with enterprise architecture and cloud infrastructure teams . Manage technical dependencies, estimations, and delivery timelines . Mentor junior and mid-level engineers Required qualifications to be successful in this role: . 10+ years of experience in ETL/Data Engineering . 5+ years of hands-on experience with Snowflake in enterprise environments . Proven experience leading complex, large-scale data transformation programs . Strong expertise in: Advanced SQL and query optimization Data modeling (Dimensional & Data Vault) Cloud platforms (especially Azure) Data orchestration tools (Airflow, ADF, etc.) . Experience implementing secure data architectures (RBAC, masking, encryption) . Strong understanding of data governance, metadata management, and lineage . Demonstrated experience serving as a technical lead or architect . Experience managing product lifecycle and stakeholder engagement Preferred Qualifications . Snowflake certification (SnowPro Advanced preferred) . Experience with dbt and modern ELT frameworks . Knowledge of BI tools (Power BI, Tableau, Looker) . Experience with real-time data streaming (Kafka, Kinesis) . Agile/Scrum product ownership experience . Experience in regulated industries (Finance, Healthcare, etc.) Key Competencies . Strategic thinker with strong architectural vision . Strong leadership and mentoring skills . Excellent communication and stakeholder management abilities . Ability to manage ambiguity in highly complex environments . Strong analytical and problem-solving skills What Success Looks Like in This Role . Successfully leads delivery of complex Snowflake data platforms . Aligns data strategy with business objectives . Improves platform performance, reliability, and data quality . Builds a high-performing, technically strong data engineering team . Experience working with Snowflake or other cloud data warehousing platforms. . Certification in SQL or related technologies. Familiarity with SAFe Agile or Agile Scrum development methodology. Other Information: CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $78,400.00 - $123,400.00. CGI's benefits are offered to eligible professionals on their first day of employment to include: . Competitive compensation . Comprehensive insurance options . Matching contributions through the 401(k) plan and the share purchase plan . Paid time off for vacation, holidays, and sick time . Paid parental leave .Learning opportunities and tuition assistance . Wellness and Well-being programs LI-TM1 Skills: Data Engineering Leadership Python Snowflake SQL What you can expect from us: Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world. Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business. CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at [email protected] . You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned. We make it easy to translate military experience and skills! Click here to be directed to our site that is dedicated to veterans and transitioning service members. All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances. CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI’s legal duty to furnish information.

Requirements

10+ years of experience in ETL/Data Engineering
5+ years of hands-on experience with Snowflake in enterprise environments
Proven experience leading complex, large-scale data transformation programs
Strong expertise in: Advanced SQL and query optimization Data modeling (Dimensional & Data Vault) Cloud platforms (especially Azure) Data orchestration tools (Airflow, ADF, etc.)
Experience implementing secure data architectures (RBAC, masking, encryption)
Strong understanding of data governance, metadata management, and lineage
Demonstrated experience serving as a technical lead or architect
Experience managing product lifecycle and stakeholder engagement

Nice To Haves

Snowflake certification (SnowPro Advanced preferred)
Experience with dbt and modern ELT frameworks
Knowledge of BI tools (Power BI, Tableau, Looker)
Experience with real-time data streaming (Kafka, Kinesis)
Agile/Scrum product ownership experience
Experience in regulated industries (Finance, Healthcare, etc.)
Experience working with Snowflake or other cloud data warehousing platforms.
Certification in SQL or related technologies.
Familiarity with SAFe Agile or Agile Scrum development methodology.

Responsibilities

Lead the design and implementation of large-scale Snowflake data warehouse solutions
Design and build highly scalable, secure, and optimized ETL/ELT pipelines
Define data modeling strategies (Dimensional, Data Vault, Hybrid models)
Establish best practices for data ingestion, transformation, orchestration, and performance tuning
Ensure data quality, governance, lineage, and compliance standards
Drive CI/CD, DevOps, and Infrastructure-as-Code strategies for data platforms
Review code, mentor developers, and enforce engineering excellence standards
Develop and optimize complex ETL/ELT workflows using tools such as: Snowflake (Tasks, Streams, Snowpipe) Python / SQL / Spark
Integrate structured and semi-structured data (JSON, XML, Parquet, etc.)
Design real-time and batch data pipelines
Optimize query performance and warehouse cost efficiency in Snowflake
Implement data validation, reconciliation, and monitoring frameworks
Act as the product owner for the data application/platform
Gather and translate business requirements into scalable technical solutions
Define product roadmaps and prioritize enhancements
Manage cross-functional stakeholders including business teams, analytics, and IT
Ensure deliverables meet business KPIs and SLAs
Drive continuous improvement and innovation in data solutions
Coordinate with enterprise architecture and cloud infrastructure teams
Manage technical dependencies, estimations, and delivery timelines
Mentor junior and mid-level engineers