Job Description :

Job title: Data Engineer 3

Location: Cincinnati, OH

Duration: 12+ months initially

POSITION SUMMARY

Job Description

Accountable for developing and delivering technological responses to targeted business outcomes.

Analyze, design and develop enterprise data and information architecture deliverables, focusing on data as an asset for the enterprise.

Understand and follow reusable standards, design patterns, guidelines, and configurations to deliver valuable data and information across the enterprise, including direct collaboration with 84.51, where needed.

10 years applicable hands on experience in the data development and principles including end-to-end design patterns

10 years proven track record of designing and delivering large scale, high quality operational or analytical data systems

10 years of successful and applicable experience taking a lead role in building complex data solutions that have been successfully delivered to customers

Proven ability to think and contribute at the strategic level

Demonstrated written, oral and presentation/public speaking communication skills

Understanding of network and data security architecture

Strong experience driving evolutionary change in data solutions and underlying technologies

Knowledge in three of the following technical disciplines: data warehousing, big data management, analytics development, data science, application programming interfaces (APIs), data integration, cloud, servers and storage, and database management

Key Responsibilities

Innovate, develop, and drive the development and communication of data strategy and roadmaps across the technology organization to support project portfolio and business strategy

Drive the development and communication of enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses

Drive digital innovation by leveraging innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platforms

Define high-level migration plans to address the gaps between the current and future state, typically in sync with the budgeting or other capital planning processes Lead the analysis of the technology environment to detect critical deficiencies and recommend solutions for improvement

Mentor team members in data principles, patterns, processes and practices

Promote the reuse of data assets, including the management of the data catalog for referenceDraft and review architectural diagrams, interface specifications and other design documents

Proactively and holistically lead activities that create deliverables to guide the direction, development, and delivery of technological responses to targeted business outcomes.

Provide facilitation, analysis, and design tasks required for the development of an enterprise's data and information architecture, focusing on data as an asset for the enterprise.

Develop target-state guidance (i.e., reusable standards, design patterns, guidelines, individual parts and configurations) to evolve the technical infrastructure related to data and information across the enterprise, including direct collaboration with 84.51.

Demonstrate the company's core values of respect, honesty, integrity, diversity, inclusion and safety.

Note to Vendors

Ideally looking for someone with Python, Spark, Hadoop, Azure, Snowflake experience, but anything close to that would be great. Some cloud experience would be preferred.

             

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