Data Architect - Databricks

Company Description Publicis Sapient is a partner for digital transformation, assisting established organizations reach their future digital-enabled state. We modify the way they work and the way they serve their customers. We unlock value through a start-up mindset and modern methodologies, blending strategy, consulting, and customer experience with agile engineering and problem-solving creativity. Our 20,000+ people stationed in 53 offices around the globe are united by our core values and purpose of helping people flourish in the brave pursuit of what’s next. Job Description Publicis Sapient is seeking a Data Architect to join our team of bright thinkers and doers. You'll apply your problem-solving creativity to design, architect, and create high-end technology solutions resolving our clients' most complex and challenging problems. We are on a mission to transform the world, and your ideas, thoughts, and solutions will play an integral role in shaping our approach. Your Daily Duties and Impact: - Closely work with our clients, providing evaluation and recommendations of design patterns and solutions for data platforms focusing on ETL, ELT, ALT, lambda, and kappa architectures - Define SLAs, SLIs, and SLOs with inputs from clients, product owners, and engineers - Provide expertise, proof-of-concept, prototype, and reference implementations of architectural solutions for cloud, on-prem, hybrid, and edge-based data platforms - Provide technical inputs to agile processes - Create and maintain infrastructure-as-code for various environments using tools such as Terraform, CloudFormation, Azure Resource Manager, Helm, and Google Cloud Deployment Manager - Mentor, support, and manage team members Qualifications - Experience in enterprise level data platforms with end-to-end data pipeline implementation - Hands-on experience with Databricks - Hands-on experience with a leading public cloud data platform (Amazon Web Services, Azure, or Google Cloud) - Familiarity with different database technologies - Experience with architecting data pipelines and solutions for streaming and batch integrations using tools like Glue ETL, Lambda, Google Cloud DataFlow, Azure Data Factory, Spark, Spark Streaming - Knowledge of metadata definition and management tools - Experience with data modeling, querying, and optimization for various databases and environments - Experience with data processing programming using SQL, DBT, Python, and similar tools - Proficiency in programming languages such as Python, Spark, PySpark, Java, Javascript, and Scala - Experience with cloud-native data platform design focusing on streaming and event-driven architectures - Participation in integrated validation and analysis sessions of components and subsystems on production servers - Design and implementation of data ingest, validation, and enrichment pipelines - Experience with SDLC optimization across work streams within a solution - Bachelor’s degree in Computer Science, Engineering, or a related field Set Yourself Apart With: - Certifications for any of the cloud services like AWS, GCP, or Azure - Experience with code repositories and continuous integration - Understanding of development and project methodologies Additional Information Pay Range: $108,000 - $210,000 Benefits of Working Here: - Unlimited vacation policy - 16 paid holidays annually - Generous parental leave and new parent transition program - Tuition reimbursement - Corporate gift matching program Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, gender, sexual orientation, gender identity, religion, disability, protected veteran status, or ethnicity. We also provide reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you require assistance or accommodation due to a disability, contact us at [email protected] or call us at +1-617-621-0200.