We have partnered with our client in their search for a Senior Data Architect.
Responsibilities
This position is responsible for the overall management and oversight of our global data architecture.
You blend deep expertise and experience in engineering, technical design, systems and database management with a passion for coaching and mentoring engineering associates.
Ownership, design and maintenance of all aspects of data solutions including modeling, developing, technical documentation, data diagrams and data dictionaries
Provide expertise in the development of standards, architectural governance, design patterns, and practices, evaluate best applicable solutions for different use cases
Analyze data patterns and optimize data processing
Keep current and research new technology trends and products
Skills Required
Advanced understanding of modern data technologies, architectures and practices
Expert with industry standard data practices, data strategies and data concepts
Knowledge of technology and Agile development processes
10+ years of architecture or engineering experience in building data pipelines, ETLs, data platforms, data products, distributed data systems or AI/ML
10+ year of experience with SQL
5+ years of healthcare data analytics experience
5+ plus years of job-related experience in programming languages such as Scala, Python, or similar
Business and technical curiosity, working with others to foster ideas and produce creative solutions to difficult problems while making sensible choices balancing design and delivery.
Proficiency at understanding enterprise data architecture concepts, master data management, data modeling and design techniques.
Experience working in complex data environments in an engineering, design, and architecture capacity; including enterprise warehouses, marts, operational stores and data lakes and hubs
Experienced with cloud deployment practices and patterns, building data applications that implement cloud native technologies
Well-grounded knowledge of engineering and continuous delivery practices
Familiarity with the healthcare data domain with previous experience working with healthcare datasets is a plus
Proven leadership skills, demonstrated ability to mentor, influence and partner with engineering, and product teams to deliver scalable robust data solutions.
Exposure to Python, Data Science and Machine Learning methodologies desired.
Demonstrated organizational savvy and maturity, for working effectively across different organizational units and business groups.
