Director Enterprise Technology Data Engineering

Our associates enjoy a one-of-a-kind culture with a rich benefits package that includes:

• 
  
  Generous paid time off: 10 paid holidays, 2 floating holidays, 6 personal days, 10 vacation days, plus sick ti
• meLow-cost Medical, Dental & Vision plans – as low as $5 per pay peri
• odPaid childcare assistance (up to $96 per pay perio
• d)Award-winning 401(k) 5% discretionary match - fully vested from day
• 1100% Gym fee reimbursement up to $75/mon
• th100% Tuition Reimbursement Up to $5,2
• 50$1200/yr student loan repayme
• ntTarget hiring range $122K - $153K (Depending on experience and prior to any incentives this position is eligible fo

• r)
  This position will be located at our Corporate Office: 2355 W Pinnacle Peak Rd, Phoenix, AZ 85

027
Our ideal candi

dateThe Director Enterprise Technology Data Engineering oversees the transformation of the Credit Union's Data Platform, collaborating with business units and stakeholders. This role leverages a banking ecosystem-based approach to define a robust data capability model. Responsible for creating next-gen data engineering and development platform capabilities, the Director will lead data integration projects and ensure data quality during mergers. They will communicate updates to executive management about trends and performance of data assets. This position is critical for ensuring seamless integration of data from merged entities, aligning with the organization's overall objectives during transitional pha

ses.

A typical day might include the fol

• lowingCarries out supervisory responsibilities in accordance with the organization's policies and applicable laws. Responsible for interviewing, hiring, and training associates; planning, assigning, and directing work; managing performance; rewarding and coaching associates; addressing complaints and resolving pro
• blems.Create data platform and data engineering str
• ategy.Ensure that the organization has defined, identified, architected, and integrated the data required to deliver as per the data str
• ategy.Lead the data team to build and deliver a highly robust and scalable data pla
• tform.Manage database administration, ETL, and business intelligence, data delivery for reporting and insights, and data engineering related ef
• forts.Own the end-to-end data architecture and take it to the next-level of mat
• urity.Maintain the data model and optimize for downstream and banking architecture
• needs.Maintain and improve the data model, architecture and data platform and ensure it's in compliance to Banking industry standards and guide
• lines.Develop and implement strategies for integrating data from different systems post-merger and ensure alignment of data models and structures across organiza
• tions.Manage timelines, budgets, and resources for data conversion pro
• jects.Establish and enforce data quality standards to ensure the integrity of merged
• data.Ensure top quality data is available for all stakeholders by adopting fast-paced, scalable, and continuously evolving data systems and proc
• esses.Work hand in hand with data stewards and Insight teams to build key data pipelines and platform processes and deploy models and implement orchestra
• tions.Manage all infrastructure around the large volumes of data being collected by the organiz
• ation.Work in a collaborative way to enable and drive adoption of DevOps, DataOps and other automation technol
• ogies.Promote technical excellence across the team and integrate best practice data engineering within the organiz
• ation.Create data governance rigor by working with the data ste
• wards.Establish guidelines and standards related to data dictionary, metadata, data extraction and load, data lineage, data movement
• , etc.Implement the necessary governance model (i.e. data access, data retention, disaster/recovery, data leverage, data reporting, etc.,) based on stakeholder requir
• ementsWork with the data stewards to define key business elements for data quality gover
• nance.Collaborate with the Insights, technology, information security, and business data ste
• wards.Be in the forefront of innovation in the area of data to identify the next-best technology for t
• he CU.Coach and mentor teammates to take them to the next level of excel
• lence.Work with Enterprise Architect and CTO to integrate data across the channels, and leverage AI/ML for further optimization of overall port

folio.
This job description should not be considered all-inclusive. It is merely a guide of expected duties. The associate understands that the job description is neither complete, nor permanent and may be modified at any time. At the request of their supervisor, an associate may be asked to perform additional duties or take on additional responsibilities without notice. Complies with all policies and standards. Position grades could fluctuate based on market

value.
E

• ducationHigh School Diploma
• RequiredBachelor's Degree in computer science or information technology
• RequiredMaster's Degree data science, data engineering & Analytics P

referred
E

• xperience10 to 15 years of similar or related experience information technology experience
• Required.10 to 15 years of similar or related experience in managing and building data & analytics platforms, preferably in a financial institution
• Required.8 to 10 years of similar or related experience managing engineering & science teams and working with cross functional teams

Required.
Knowledge, Skills and

• AbilitiesExperience in leading highly skilled and motivated data engineers and Data/AI Architects. (High pr
• oficiency)Experience in building Data warehouse experience by leveraging Snowflake or similar platforms. (High pr
• oficiency)Experience in data management during mergers, including challenges and solutions with an understanding of the regulatory and compliance aspects related to data handling in mergers. (High pr
• oficiency)Experience in having built Data Integration and Analysis Systems (DIAS) in an industrial/enterprise environment. (High pr
• oficiency)Deep knowledge of the Microsoft Azure technology stack as it relates to Data and Insight (Azure SQL VMs, SQL Managed Instances, Azure DB, Data Lakes, Azure Synapse and Power BI, Azure Data Factory, etc.). (High pr
• oficiency)Proficiency in a scripting language (i.e. SQL, and Python). (High pr
• oficiency)Proficiency in designing and building API and API Consumption. (High pr
• oficiency)Familiarity with data visualizations tools such as PowerBI. (High pr
• oficiency)Proficiency in ETL/ELT tooling. Preferability by leveraging Informatica. (High pr
• oficiency)Experience with deploying infrastructure as code and CI/CD pipelines in an Agile way (High pr
• oficiency)Ability to lead on the appraisal of architectures as they relate to our requirements for Data and Insight solutions, including Cloud, Hybrid-Cloud and On-Premises based solutions and specific components and services within them. (High pr
• oficiency)Proven experience of architecting and deploying complex and scalable data pipelines, connecting diverse data sources to consolidated repositories. (High pr
• oficiency)Significant experience and expertise of data modelling a
• pproaches.Experience of designing and overseeing service management models as they relate to managed instances of our data platform and data-as-a-service solutions. (High pr
• oficiency)Experience of working with structured, semi-structured and unstructured data (High pr
• oficiency)Experience of architecting pipelines to support Machine Learning workloads (Medium pr
• oficiency)Experience of maintaining high levels of operational delivery. Being accountable and responsible to support the operational delivery of data for a wide range of use cases. Adhering to SLA's and Operational Level Agreements. Inspiring the teams to provide the highest level of quality to our customers. (High pr

oficiency)
Licenses and Cer

• tificationsCertified Data Architec
• t PreferredMicrosoft Certified Azure Data Scientist Associat
• e PreferredCertified Analytics Professional (CAP
• ) PreferredCertified Agile Professiona