Architect, Data

Credera is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, AI and technology expertise to deliver valuable customer experiences and accelerated growth across various industries. We continuously evolve our services to meet the needs of future organizations and reflect modern best practices. Our unique global approach provides tailored solutions, transforming the most influential brands and organizations worldwide.


Our employees, the lifeblood of our company, are passionate about making an extraordinary impact on our clients, colleagues, and communities. This passion drives how we spend our time, resources, and talents. Our commitment to our people and work has been recognized globally.

As an Architect in Credera's Data capability group, you will lead teams in implementing modern data architecture, data engineering pipelines, and advanced analytical solutions. Our projects range from designing and implementing the latest data platform approaches (i.e. Lakehouse, DataOps, Data Mesh) using best practices and cloud solutions, building scalable data and ML pipelines, democratizing data through modern governance approaches, and delivering data products using advanced machine learning, visualization, and integration approaches.

You will act as the primary architect and technical lead on projects to scope and estimate work streams, architect and model technical solutions to meet business requirements, serve as a technical expert in client communications, and mentor junior project team members. On a typical day, you might expect to participate in design sessions, build data structures for an enterprise data lake or statistical models for a machine learning algorithm, coach junior resources, and manage technical backlogs and release management tools. Additionally, you will seek out new business development opportunities at existing and new clients.

WHO YOU ARE:

• You have a minimum of 5 years of technical, hands-on experience building, optimizing, and implementing data pipelines and architecture
• Experience leading teams to wrangle, explore, and analyze data to answer specific business questions and identify opportunities for improvement
• You are a highly driven professional and enjoy serving in a fast-paced, dynamic client-facing role where delivering solutions to exceed high expectations is a measure of success
• You have a passion for leading teams and providing both formal and informal mentorship
• You have strong communication and interpersonal skills, and the ability to engage customers at a business level in addition to a technical level
• You have a deep understanding of data governance and data privacy best practices
• You incorporate the usage of AI tooling, efficiencies, and code assistance tooling in your everyday workflows
• You have a degree in Computer Science, Computer Engineering, Engineering, Mathematics, Management Information Systems or a related field of study
• The ideal candidate will have recent technical knowledge of the following:
• Programming languages (e.g. Python, Spark, Java, C++, Scala, etc.)
• SQL and NoSQL databases (MySQL, DynamoDB, CosmosDB, Cassandra, MongoDB, etc.)
• Data pipeline and workflow management tools (Airflow, Dagster, AWS Step Functions, Azure Data Factory, etc.)
• Stream-processing systems (e.g. Storm, Spark-Streaming, Pulsar, Flink, etc.)
• Data Warehouse design (Databricks, Snowflake, Delta Lake, Lake formation, Iceberg)
• MLOps platforms (Sagemaker, Azure ML, Vertex.ai, MLFlow)
• Container Orchestration (e.g. Kubernetes, Docker Swarm, etc.)
• Metadata management tools (Collibra, Atlas, DataHub, etc.)
• Experience with the data platform components on one or more of the following cloud service providers:
• AWS
• Google Cloud Platform
• Azure

Basic Qualifications

• Thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success
• Contribute in a team-oriented environment
• Prioritize multiple tasks in order to consistently meet deadlines
• Creatively solve problems in an analytical environment
• Adapt to new environments, people, technologies and processes
• Excel in leadership, communication, and interpersonal skills
• Establish strong work relationships with clients and team members
• Generate ideas and understand different points of view

Learn More : Credera is part of Omnicom Precision Marketing that delivers transformative solutions rooted in data, technology, and AI. Omnicom Precision Marketing delivers precisely targeted and meaningful customer experiences at scale. Using its universal framework of connected data, connected intelligence and connected experiences, OPM provides services that include data-driven product / service design, technology strategy and implementation, CRM / loyalty strategy and activation, econometric and attribution modelling, technical and business consulting and digital experience design and development.


Compensation: The salary range listed is provided for informational purposes only. Credera treats all applicants as individuals, considering, but not limited to, their professional and academic experience, specialized training, certifications, and associated responsibilities as they relate to our specific industry. The salary range listed is just one component of our total compensation package for each unique employee.

We believe in recognizing and rewarding contributions at every level. While senior-level employees are eligible for a variable component as part of their compensation package, we are committed to supporting the growth and development of all team members. As employees progress in their careers, everyone will have opportunities to take on new responsibilities and become eligible for additional rewards. We strive to create an environment where everyone is empowered to succeed and advance.

Benefits : Credera provides a competitive salary and a comprehensive benefits plan. Benefits include health, mental health, vision, dental, and life insurance, prescriptions, fertility and adoption benefits, community service days, paid parental leave, PTO, 14 paid holidays, matching 401(k), Healthcare & Dependent Flexible Spending Accounts, and disability benefits. For more information regarding Omnicom benefits, please visit .


Hybrid Working Model: Our employees have the flexibility to work remotely two days a week. We expect team members to spend three days in person, with the freedom to choose the days and times that best suit them, their project, and their teams. You'll collaborate with your project team to balance flexibility with the benefits of in-person connection, delivering outstanding results for our clients. The Why : In-person engagement is essential for building strong relationships with clients and colleagues. It fosters trust, encourages learning, and helps us grow as consultants and professionals.


Travel : For our consulting roles, our goal is to minimize travel, and most projects do not require extensive travel. While some projects may involve up to 80% travel for a period, the annual average for team members is typically 10%-30%. We take a personal approach to travel by considering your submitted preferences when assigning roles.


Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; Credera will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT, or any other employment-based visa).

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity, sexual orientation, national origin, age, genetic information, veteran status, or disability.


Credera will never ask for money up front and will not use apps such as Facebook Messenger, WhatsApp or Google Hangouts for communicating with you. You should be very wary of, and carefully scrutinize, any job opportunity that asks for money prior to starting and/or one where all communications take place exclusively via chat.