TELECOMMUTE Architect, Data

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.

• 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, * 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;/strong>.

Deutsche Automobil Treuhand GmbH (DAT) is an international company operating within the automotive industry. In accordance with its mandate, it collects and prepares comprehensive vehicle data and provides the sector with cost-effective, nationwide access to it via the SilverDAT® System.
DAT sees itself as a neutral intermediary between all the stakeholders in the automotive industry. Ever since 1931 it has been funded by its three partners: the VDA (Association of the German Automotive Industry), the VDIK (Association of International Motor Vehicle Manufacturers) and the ZDK (German Federation
for Motor Trades and Repairs). This structure gives DAT a unique status and a special mandate within the automotive industry.
In addition to providing a nationwide network of automotive experts in Germany, DAT’s main tasks are to observe the market and document technical data for all makes of vehicles and to augment this with additional relevant facts. This know-how is consolidated in the SilverDAT® software, which offers its users
numerous options for the digitisation of their processes. This includes e.g. precise vehicle identification via VIN queries (Vehicle Identification Number), repair-cost calculations, used-car valuations, key-data analyses
and residual-value forecasts. Hire-car costs and compensation for loss of use can also be automatically calculated where necessary. Process-oriented online claims-management systems facilitate paperless communication between all parties involved in a claim and allows them to process digital claims files.
DAT leverages its immensely valuable collection of data to develop new products and services, such as the analysis of vehicle groups by their equipment levels and the combination with other equipment features.
The DAT Group is represented in numerous international markets by its subsidiaries and holding companies.