EY Data Architect - Industrials & Energy Sector 

United States, Ohio, Akron 

392974691

US Consulting - AI & Data - Data Architect, Industrials & Energy Sector – Senior

In this role, you will create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes.

Your key responsibilities

• Design, develop, optimize, and maintain data architecture and pipelines that adheres to ETL principles and business goals

• Develop and maintain scalable data pipelines, build out new integrations using AWS native technologies to support continuing increases in data source, volume, and complexity

• Define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the Big Data Environment

• Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyse, validate, normalize, and clean data

• Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues

• Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes

• Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity

• Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes

• Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics

• Solve complex data problems to deliver insights that help achieve business objectives

• Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics

• Strong understanding & familiarity with all Hadoop Ecosystem components and Hadoop Administrative Fundamentals

• Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms

Skills and attributes for success

• 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

• Advanced experience and understanding of data/Big Data, data integration, data modelling, AWS, and cloud technologies

• Strong business acumen with knowledge of the Industrial Products sector is preferred, but not required

• Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata

• Ability to build and optimize queries (SQL), data sets, 'Big Data' pipelines, and architectures for structured and unstructured data

• Experience with or knowledge of Agile Software Development methodologies.

• Demonstrated understanding and experience using:

• Data Engineering Programming Languages (i.e., Python)

• Distributed Data Technologies (e.g., Pyspark)

• Cloud platform deployment and tools (e.g., Kubernetes)

• Relational SQL databases

• DevOps and continuous integration

• AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS)

• Databricks/ETL

• IICS/DMS

• GitHub

• Event Bridge, Tidal

To qualify for the role you must have

• 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.

• Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives

• Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling

• Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value

• Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity

• Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth

• Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions

Ideally, you’ll also have

• 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.