Atlanta, New York
Azure Data Engineering Lead
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Job Location - Alpharetta GA / Berkeley Heights NJ (Day One Onsite - 5 days in a week)
About The RoleWe are seeking a highly experienced and motivated Azure data engineering lead to join our growing data team.
This includes tasks like building data pipelines, ensuring data quality, optimizing data models.
The role requires expertise in Azure services like Azure Data Lake, SQL, Cosmos DB, Data Factory, Synapse Analytics, Databricks .
You will be responsible for designing, developing, and leading data engineering initiatives with lakehouse architecture.
You will work closely with cross-functional teams to understand business requirements and translate them into technical solutions.
This role requires strong leadership and communication skills and mentoring data engineering teams.
Key ResponsibilitiesDesign, configure, and optimize data architectures and pipelines to meet business needs.
Develop and embed data engineering pipelines as part of multi tenant B2B SaaS product.
Work closely with cross-functional teams, to understand business requirements and translate them into technical solutions.
Migrating existing data to new data model, including logging, reconciliation, data quality and error handling.
Required Skills and ExperienceExtensive experience in data engineering, including data warehousing, data lakes, and lakehouses.
Lead the design and implementation of data pipelines for ingesting, transforming, and loading data into Azure data & analytics services for structured and semi structured data.
Experience in developing data services and pipelines with API integration for multitenant application.
Develop best practices including reusable code, libraries, patterns, and consumable frameworks for cloud-based data warehousing and ETL.
Design and implement efficient data models and database schemas for structured and unstructured data, optimizing storage and access for performance and scalability.
Strong analytical and problem-solving skills, with the ability to interpret complex data sets and derive meaningful insights.
Extensive experience with Azure data & analytics services, including ADLS, Azure SQL, Cosmos DB, Data Factory, Synapse Analytics, Azure Functions, Azure App Service, Apache
Spark, Python, Databricks, and other related services.
Strong understanding and experience designing and development of data warehousing, data modeling, data integration, and ETL/ELT processes.
Proficiency in scripting languages like Python, SQL, and/or other languages relevant to data engineering tasks.
Monitor and Optimize data pipelines and data models for performance, scalability, and cost-effectiveness, identify bottlenecks, and implement optimization strategies.
Understanding of data governance principles, data security best practices, and compliance requirements.
Experience with data modeling and database design principles.
Familiarity with data governance and security best practices.
Provide advanced troubleshooting and resolution of data pipelines and operations issues.
Experience with relational databases and data warehouse technologies.
Leadership and CommunicationProven leadership skills, with the ability to lead, mentor, and motivate a team.
Oversee a team of data engineers, providing technical guidance, mentorship, and support.
Provide guidance and support to team members, lead, mentor, and guide data engineering teams, fostering a collaborative and high-performing environment.
Documentation and TrainingDevelop and maintain documentation, including design documents, data pipelines with governance, Standard Operating Procedures (SOPs) and training materials for the team.
Excellent written and verbal communication skills, with the ability to effectively communicate technical information to both technical and non-technical audiences.
Experience with Agile MethodologiesFamiliarity with Agile project management methodologies
Life At Capgemini
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
Flexible work
Healthcare including dental, vision, mental health, and well-being programs
Financial well-being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well-being benefits like subsidized back-up child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief
Disclaimer
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.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Salary Transparency
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $99712 to $168716 /yearly.
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.
The base compensation range for this role in the posted location is:$99712 to $168716.
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.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
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.
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