Databricks Architect
Job Location:
Tallahassee, FL - USA
Yearly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
Design and Lead Enterprise-Scale Databricks Lakehouse Solutions
Are you an experienced data architect who enjoys designing modern scalable data platforms and solving complex data challenges Do you combine deep Databricks expertise with hands-on engineering skills and the ability to provide technical leadership to clients and delivery teams
CGI is seeking a Databricks Architect to design build and govern enterprise-scale data and Lakehouse solutions using Databricks and cloud-native this role you will lead end-to-end solution architecturefrom data ingestion integration and modeling through performance optimization governance security reliability and cost management.
You will play a key role in designing cloud-based data platforms that integrate information from multiple source systems and enable advanced analytics AI/ML and self-service data capabilities at scale. This position combines hands-on technical delivery architecture leadership client engagement and strategic influence.
As a Databricks Architect you will work closely with clients data engineers application teams cloud architects analytics teams and business stakeholders to translate complex requirements into scalable and sustainable solutions. You will also mentor engineering teams establish architectural standards and best practices and help clients maximize the value of their Databricks investments.
This is an excellent opportunity for someone who thrives in a fast-paced technology environment and is passionate about using modern data platforms to solve complex business challenges.
Location: The preferred locations are San Francisco Bay Area; Sacramento CA; Seattle WA; and Portland OR and requires a hybrid onsite work arrangement. Remote candidates with the right experience will be considered (must be willing to work PST hours!).
Provide technical and architectural leadership for Databricks modern data platforms Lakehouse architectures and cloud-native data solutions.
Design and implement scalable enterprise data architectures using Databricks including Delta Lake Delta Lake UniForm/Iceberg interoperability Lakeflow Declarative Pipelines (formerly Delta Live Tables) and Unity Catalog.
Lead the end-to-end architecture and development of Data Lakehouse solutions including ingestion transformation data modeling orchestration storage analytics and consumption layers.
Design and optimize scalable data pipelines integrating structured semi-structured and unstructured data from multiple enterprise source systems.
Establish architecture standards and best practices for data governance security access controls metadata management data quality reliability and observability.
Optimize Spark workloads Databricks compute storage and platform configurations to improve performance scalability reliability and cost efficiency.
Provide hands-on technical leadership including coding solution prototyping design reviews troubleshooting and resolution of critical technical issues.
Partner with clients and business stakeholders to understand business challenges and translate requirements into scalable data and analytics solutions.
Lead and mentor data engineers and technical team members while promoting engineering excellence collaboration continuous learning and innovation.
Support analytics AI/ML and emerging Generative AI use cases by establishing scalable and governed enterprise data foundations.
Collaborate with cloud security infrastructure application and analytics teams to ensure solutions align with enterprise architecture and technology standards.
Contribute to CGIs growth by supporting solution development proposals statements of work (SOWs) technical presentations and strategies to expand our presence within existing client accounts.
10 years of experience in data engineering data architecture or related disciplines including 5 years of hands-on experience designing and delivering end-to-end Databricks solutions in cloud environments.
Deep expertise with the Databricks platform and Lakehouse architecture including Apache Spark Databricks SQL Delta Lake Unity Catalog notebooks compute jobs workflows and workspace management.
Strong hands-on development experience with Python and/or Scala Spark SQL and distributed data processing.
Demonstrated experience designing and implementing enterprise-scale ETL/ELT and data integration pipelines using Databricks and Spark.
Hands-on experience integrating Databricks with at least one major cloud platform: Microsoft Azure AWS or Google Cloud Platform (GCP).
Strong understanding of logical and physical data modeling for enterprise analytics reporting and data products.
Experience implementing enterprise data governance and security including Unity Catalog role-based access control lineage metadata management and applicable compliance requirements.
Demonstrated ability to optimize Spark workloads compute configurations storage and data pipelines for performance and cost efficiency.
Experience designing highly available reliable scalable and maintainable enterprise data platforms.
Ability and willingness to remain hands-on with architecture development coding troubleshooting and technical problem-solving.
Proven track record of successfully delivering multiple complex enterprise-scale Databricks implementations from architecture and design through implementation optimization and production support.
Strong communication and consulting skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
Demonstrated ability to provide technical leadership and mentor engineering teams.
Desired Qualifications / Non-Essential Skills
Databricks Certified Data Engineer Professional or other relevant Databricks certification.
Experience designing and implementing data pipelines using Azure Data Factory (ADF) or comparable cloud-native orchestration technologies.
Experience with DevOps and DataOps practices including CI/CD automated testing source control infrastructure automation and Agile delivery methodologies.
Experience with metadata management enterprise data cataloging data lineage and data quality frameworks.
Experience designing or supporting data mesh and domain-oriented data architectures.
Exposure to Databricks Lakebridge or other migration and modernization tooling.
Experience with cross-tenant multi-workspace multi-region or enterprise-scale
Databricks governance strategies.
Experience supporting data platforms used for advanced analytics machine learning Generative AI or AI/ML workloads.
Previous consulting experience and exposure to proposal development solution estimation or SOW development are preferred.
### Education Requirement
Bachelors degree in Computer Science Information Technology Data Science Computer Engineering Information Systems or a related technical field is preferred. An equivalent combination of education and relevant professional experience will be considered in lieu of a degree. A Masters degree in a related discipline is a plus.
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 $114800.00 $267800.00.
CGIs 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
Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
- ETL
- Python
- SQL
- Apache Spark
- Data Engineering
- Data Engineering
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Life at CGI is rooted in ownership teamwork respect and belonging. Here youll 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. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.
Your work creates value. Youll 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.
Youll shape your career by joining a company built to grow and last. Youll 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 teamone 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 . 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.
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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 CGIs legal duty to furnish information.
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Staff IC
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