Associate Director Data Architecture at Peterson Technology Partners

Job Description

Summary Statement:

Reporting to the Associate VP of IT the Data Architect is a critical technical leadership role within the IT organization providing direction and implementation of Client’s data strategy. Accountable for Client’s data architecture and development of Client’s data management technology and adherence to data management best practices. Responsible for the development and support of Client’s data pipelines, data catalogs, data security, data lake, warehouse and visualization technology. Will work directly with internal business partners and IT resources to leverage data to solve business problems.

Representative Duties: (Include only the duties that account for 5% or more of the work)

•Manages a globally located data engineering team.

 •Manages vendor relationships that are leveraged for implementation and to support deliverables.

 •Design, develop, and maintain the Snowflake Enterprise Data Warehouse to ensure scalable and efficient data storage and retrieval.

 •Develop data models, schemas, and structures for optimized performance and scalability in the data warehouse environment.

 •Create and manage ETL pipelines using Informatica Cloud and other technologies, ensuring seamless data flow between systems and data integrity.

 •Develop and maintain data integration processes to sync data between Client’s enterprise and product applications.

 •Support the use of the Informatica Cloud Data Management for Data Governance, Cataloging, and Data Quality

 •Works closely with data governance data owners and data stewards.

 •Provides technical project management for projects identified in a multi-year data roadmap.

 •Delivers proof-of-concept projects and technical workshops and supports implementation projects.

 •Plays a key role in the development of data strategies for various groups (business leaders, data scientists, data analysts, and IT) to help shape the future of what data-centric organizations look like.

 •Evaluates business requirements and works closely with stakeholders to identify key business needs and translate that into a clear data strategy solution.

 •Defines and implements data management best practice processes.

 •Provides input into Client’s data roadmap. 

 •Identifies new opportunities for data and analytics to advance business needs as well as identifying and conveying data quality and gaps.

 •Manages, benchmarks and ensures continuous testing, cleansing and refining of data integrity and quality assurance processes to enhance data and improve results.

 •Summarizes and conveys data findings to both a technical and non-technical audience.

 •Prepares and delivers presentations and/or workshops to educate Executive Staff, senior organizational leaders and various departments as requested.

 •Remains current with emerging technologies and industry best practices; guides others on major strategies and methodologies.

· Other duties as assigned

Requirements: (1 year of college is equivalent to 2 years of experience)

•Bachelor’s Degree in Computer Science, Engineering, Statistics, Technical Science or related field. Master’s Degree is strongly preferred.

 •Minimum of 12 years of wide-ranging data experience working with and influencing multiple, cross-functional teams (business analysts, data analysts, data scientist, and IT) to ensure meaningful data collection or connections with responsibility for results, including costs and methods.

 •Skilled data development history working with cloud hosted data infrastructure platform. Certification preferred in one or more of the following cloud platforms: AWS, Microsoft Azure, Google.

 •Strong implementation and support experience of data engineering integration, quality, security, and cataloging applications,

 •Hands-on experience with various data technologies (RDBMS, NoSQL, Hadoop), as well as logical and physical data modeling.

 •Passionate about technology including data, analytics, machine learning, augmented intelligence, automated decision making  

 •Ability to conceive and portray the big data picture and translate data and analysis into actionable insights

 •Ability to work well under pressure and within tight deadlines

 •Ability to communicate effectively, drive consensus, and influence relationships at all levels

 •Strong analytical and problem-solving skills; sound judgment and demonstrated leadership skills

 •Eager to learn and support the business strategy and desire to work on strategic projects

 •Excellent communicator with experience presenting technical solutions that solve business problems to executive level audiences  

 •Exceptional in storytelling: i.e., the ability to structure and synthesize within your communication

 •Proven track record helping business customers/clients establish next generation data products and processes

 •Experience in a fast-paced agile development environment and has an ability to execute against timelines

· Able to provide guidance to subordinates within the latitude of established company policies

· Experience with advising subordinates how to meet schedules and/or resolve technical problems

· Responsible for the hiring, firing, and performance review of staff