Data Architecture - Healthcare Sector - Manager - Consulting - Location OPEN
Grandview Heights, OH, US, 43212
EY
Tarjoamme palveluita, jotka auttavat ratkaisemaan asiakkaidemme vaikeimmat haasteetTechnology – AI & Data - Data Architect – Manager – Healthcare Sector
EY delivers unparalleled tech consulting services in data strategy, business intelligence, digital, machine learning and Artificial Intelligence. We support and enable big ideas, always with the ambitions to keep doing more.
The opportunity
EY is seeking a Data Architecture Manager with a strong understanding of data and technology within the Healthcare sector, complemented by a solid track record of delivery. This individual will spearhead the design, development, and governance of our clients’ data architectures, ensuring scalable, effective, and secure data solutions that align with business objectives and support data imperatives. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career.
As a Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints.
Your key responsibilities
Your teams will design and build scalable solutions for healthcare clients that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We’ll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.
In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include:
- Ensuring project deliverables are completed and project status is tracked effectively.
- Managing engagement economics and resource planning.
- Identifying opportunities for additional services and leading specific RFP responses.
- Develop standardized practices for delivering new products and capabilities using Big Data technologies, including data acquisition, transformation, and analysis
- Interact with senior client technology leaders, understand their business goals, create, architect, propose, develop and deliver technology solutions
- Define and develop client specific best practices around data management within a Hadoop environment or cloud environment
- Recommend design alternatives for data ingestion, processing and provisioning layers
- Design and develop data ingestion programs to process large data sets in Batch mode using Hadoop, Spark, Azure Synapse, and Databricks
- Develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies
Skills and attributes for success
This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.
- Strong understanding & familiarity with all Hadoop Ecosystem components and Hadoop Administrative Fundamentals
- Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms
- Experience in the development of Hadoop APIs and MapReduce jobs for large scale data processing
- Hands-on programming experience in Apache Spark using SparkSQL and Spark Streaming or Apache Storm
- Hands on experience with major components like Hive, Spark, and MapReduce
- Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
- Experienced in Hadoop clustering and Auto scaling
- Good knowledge in Apache Kafka & Apache Flume
- Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions
- Knowledge of Apache Oozie based workflow
- Hands-on expertise in cloud services like AWS, and/or Microsoft Azure
- Solid understanding of ETL methodologies in a multi-tiered stack, integrating with Big Data systems like Hadoop and Cassandra
- Experience with BI, and data analytics databases
- Experience in converting business problems/challenges to technical solutions considering security, performance, scalability etc.
- Experience in Enterprise grade solution implementations
- Knowledge in Big data architecture patterns (Lambda, Kappa)
- Experience in performance bench marking enterprise applications
- Experience in Data security (on the move, at rest)
- Strong UNIX operating system concepts and shell scripting knowledge
To qualify for the role you must have
- Bachelor’s degree and 6-10 years of full-time working experience in Data Architecture/Engineering
- 2-4 years of experience directly managing technical teams
- At least 2 years working in the healthcare domain (payer, provider or integrated health systems), developing solutions for healthcare challenges
- Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution
- Excellent communicator (written and verbal formal and informal).
- Ability to multi-task under pressure and work independently with minimal supervision
- Strong verbal and written communication skills
- Must be a team player and enjoy working in a cooperative and collaborative team environment
- Adaptable to new technologies and standards
- Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support
- Minimum 8 years hand-on experience in one or more of the above areas
Ideally, you’ll also have
- Building and Managing Relationships
- Client Trust and Value and Commercial Astuteness
- Communicating With Impact and Digital Fluency
- Experience with cloud data platforms like Snowflake and Databricks.
- Experience in leading and influencing teams, with a focus on mentorship and professional development
- A passion for innovation and the strategic application of emerging technologies to solve real-world challenges
- The ability to foster an inclusive environment that values diverse perspectives and empowers team members
- Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
- Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
- Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
- Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
Tags: Agile APIs Architecture AWS Azure Big Data Business Intelligence Cassandra Clustering Consulting Data Analytics Databricks Data management Data strategy Economics Engineering ETL Hadoop HBase Kafka Lambda Machine Learning MongoDB NoSQL Oozie Research Security Shell scripting Snowflake Spark Streaming Testing
Perks/benefits: Career development Equity / stock options Flex hours Flex vacation Health care
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