GCP Dataplex Engineer

We are seeking a highly skilled and execution-driven GCP Dataplex Engineer/Architect to lead the design and implementation of cutting-edge solutions. 

Perficient is always looking for the best and brightest talent and we need you! We’re a quickly-growing, global digital consulting leader, and we’re transforming the world’s largest enterprises and biggest brands. You’ll work with the latest technologies, expand your skills, and become a part of our global community of talented, diverse, and knowledgeable colleagues.

• 10+ years of experience, preferably in the consulting space.
• Strong expertise in Google Cloud Dataplex services, including data governance, security, and data quality management features.
• Strong experience in GCP Data Catalog or Dataplex Universal Catalog. **Candidates that do not have Dataplex experience cannot be considered.
• Proven experience in designing and deploying data management solutions using Google Cloud Dataplex, integrating data lakes and data warehouses.
• Experience in data lineage, metadata management, and role-based access control (RBAC) within Dataplex.
• Proficiency in programming languages such as Java, Python.
• Solid understanding of cloud platforms (preferably Google Cloud) and Dataplex services.
• Hands-on experience in implementing data processing frameworks on GCP BigQuery and Google Cloud Storage.
• Familiarity with data processing frameworks like Apache Spark and Cloud Dataflow.
• Strong problem-solving skills and the ability to collaborate across technical and business teams.

• Excellent communication skills, both written and verbal.

• Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support data-informed task execution. 

• Familiarity with AI-enhanced platforms is a plus. 
• A solid understanding of AI capabilities and limitations including ethical considerations is expected

Preferred Qualifications:

• Knowledge of the latest cloud-native technologies and data architecture principles.
• Knowledge of Apache Iceberg and BigLake tables is desirable.
• Proven track record of developing and deploying enterprise-grade data platforms on Google Cloud.

ABOUT THE TEAM

Our Cloud Infrastructure & API Management team helps the world’s leading brands modernize infrastructure, applications, and integrations to thrive in today’s digital economy. We deliver cloud-native development, app modernization, API management, and DevOps solutions, enabling clients to maximize cloud investments, streamline processes, and drive innovation across the enterprise. Join a team that’s harnessing the power of AI to build intelligent, self-optimizing cloud environments—leveraging predictive analytics, generative tools, and automation to create smarter, more resilient digital ecosystems. 

ADDITIONAL INFORMATION

Perficient, Inc. proudly provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws. Perficient, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Perficient, Inc. expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or covered veterans. Improper interference with the ability of Perficient, Inc. employees to perform their expected job duties is absolutely not tolerated.

Disability Accommodations:

Perficient is committed to providing a barrier-free employment process with reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or accommodation due to a disability, please contact us.

Applications will be accepted until the position is filled or the posting removed.

The salary range for this position takes into consideration a variety of factors, including but not limited to skill sets, level of experience, applicable office location, training, licensure and certifications, and other business and organizational needs. The new hire salary range displays the minimum and maximum salary targets for this position across all US locations, and the range has not been adjusted for any specific state differentials. It is not typical for a candidate to be hired at or near the top of the range for their role, and compensation decisions are dependent on the unique facts and circumstances regarding each candidate. A reasonable estimate of the current salary range for this position is $81,978 to $178,090. Please note that the salary range posted reflects the base salary only and does not include benefits or any potential equity or variable bonus programs. Information regarding the benefits available for this position are in our benefits overview.

Disclaimer:  The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification.  Management retains the discretion to add or change the duties of the position at any time. #LI-AB1 #LI-GCP #LI-AI #LI-Dataplex

• Design and implement features for consistent data governance, security, and privacy policies across diverse data environments using Google Cloud Dataplex. Ensure effective role-based access control (RBAC) and compliance with organizational standards.
• Utilize Google Cloud Dataplex to develop automated tools for discovering and classifying structured, semi-structured, and unstructured data, improving metadata management and ensuring users have a clear understanding of data assets.
• Leverage Dataplex's built-in tools to automate data quality checks, monitoring rules, and data lineage tracking to improve the reliability and trustworthiness of data across all stages of transformation.
• Data Integration and Scalability: Work on creating a unified data ecosystem with Google Cloud Dataplex that integrates data from various sources and systems like data lakes, warehouses, and databases to provide a seamless experience across large-scale, distributed environments.
• Ability to conceptualize and build a data mesh architecture with Dataplex.
• Enable better collaboration by developing features that allow users across teams and organizations to securely share and access data, ensuring data transparency and fostering a data-driven culture.