As a Data engineer, you will enable modern Marketing capabilities by designing solutions that acquire data from across the enterprise and activate it across marketing channels. You will work closely with stakeholders to tease out, decompose, and document requirements. Then design and articulate solutions that you and a team of data engineers will interactively bring to life.

Primary Job Responsibilities:

Proven expertise in modern Cloud-based Data Architectures, Data Modeling, Database architecture, Database Design, Database programming (SQL, Python, etc..)
Experience with analytics platforms in Cloud (Azure, GCP, AWS etc..)
Experience designing and developing ETL and ELT processes in a variety of platforms
Expertise in architecting Operational Data Stores, Data Lakes, Data Warehousing solutions
Deep understanding and application of modern data processing technology and real-time/low-latency data pipeline and ETL architectures
Experience with Relational (MSSQL), In memory (KDB), Hadoop, NoSQL, Columnar DB platforms, Cloud Databases and Analytics environments
Understanding of Data Exploration, Visual Analytics concepts, experience with BI and visualization tools such as Tableau and/or Power BI
Expertise designing Batch and event-driven processes, and Data Quality processes
Working knowledge of service-oriented architecture
Working knowledge of continuous delivery/continuous integration practices
Understanding of secure data architecture and security models across data platforms. Experience in implementing data masking, encryption, data classification and access control
Comfortable dealing with ambiguity, who strives for the best outcomes and change while being cautious by understanding risks and threats
Collaborating with other Architects, Developers and business partners to provide technical design guidance to align with strategy and applicable technical standards
Demonstrating a history of staying current in emerging technology trends to advance business capabilities.
Working independently to evaluate and make strategic decisions that will address specific technology design needs
Collaborating with multidisciplinary teams in resolving complex technical issues
Providing design guidance that follows the enterprise architecture vision and adheres to applicable application technology guidelines; and mitigating the impact of technical design to security, performance and data privacy

Qualifications:
Prior relevant experience in data architecture

Python programming experience
Strong communication skills, should be comfortable working closely with stakeholders and engineers
Highly organized and detail oriented

Data Engineers