Data Architect

Our client, a very well-known financial services company, is currently seeking a Senior Data Architect/Engineer, with strong experience in Google Cloud Platforms to join their team! They need a strategic professional, who will act as the recognized technical authority for the application and design of data, integration, and information within their organization.

Responsibilities

• Conceive and construct conceptual, logical, and physical data architectures.
• Reconcile and design integrations for mainframe, distributed, Big Data, and Cloud data platforms.
• Evaluate and reconcile data integration software and capabilities of major programming languages used in data processing.
• Direct program level data architecture solutions and roadmaps, providing leadership throughout.
• Conceive, compose, and present data architecture concepts and ideas to multiple, diverse audiences.
• Pursue outcomes and solutions in an open-minded and inquisitive manner, maximizing the inclusion of ancillary group and stakeholders.
• Communicate problems, solutions, and roadmaps in a logical, organized, and effective manner.
• Evaluate and reconcile program and project objectives against the enterprise data strategy, while maintaining an effective risk control for the enterprise.
• Work in conjunction with information owners and technology partners to define and implement defined roadmaps.
• Lead engineering teams on specific projects or across multiple programs to achieve designed outcomes.

Required Skills

• 10 years of experience as a Data architect or Lead Data Engineer.
• Hands-on Architecture - Solutioning.
• Strong experience working with Google Cloud Platform (GCP) is a must.
• Strong experience working with Hadoop, Spark, and MapR, BigQuery, BigTable, Elasticsearch, Airflow, OnPrem, etc.
• Comprehensive skillset understanding, and ability to construct multiple data architecture artifact types.
• This is strategic data discovery work, so the team needs to be self-driven, solution-oriented, and consultative.
• Substantial communication, negotiation, and presentation skillset.
• Highly knowledgeable understanding of the data and information technologies, software, and data platform categories being used and proposed, and how they are suitably integrated.
• Experience working and interacting in large scale programs and projects, providing the appropriate data architecture support leading to successful outcomes.
• Track record of interfacing with and presenting results to senior management.
• Analytical, flexible, team-oriented and have good interpersonal/communication skills.