Senior IT Manager Enterprise Data Platform

Strategic Education; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

An established industry player is seeking a Senior IT Manager for their Data Platform, a pivotal role in leading a talented team dedicated to developing innovative data solutions. This position emphasizes cloud architecture and the creation of robust data systems, ensuring data quality and compliance with service level agreements. As a leader, you will foster collaboration, drive best practices, and enhance enterprise data capabilities, all while optimizing processes and integrating cutting-edge technologies like AI. Join a forward-thinking organization where your expertise will significantly impact the student lifecycle and corporate data initiatives.

Qualifications

• 10+ years in data ingestion and processing solutions.
• 3+ years leading teams in enterprise data solutions.

Responsibilities

• Lead a team in developing data ingestion and serving patterns.
• Ensure data security and auditing policies are met.

Skills

Collaboration and teamwork

Cloud application architecture

Business strategy translation

Data ingest patterns

Python programming

Data processing tools (Airflow, Apache Beam)

Infrastructure as code (Terraform)

Cloud billing optimization

CI/CD processes

Software engineering best practices

Education

Bachelor's degree in IT or equivalent experience

Tools

GCP (BigQuery, Google Cloud Storage, Data Flow)

Cloud Composer/Airflow

REST APIs

Google Pub/Sub

Python Cloud Functions

GitLab

Job description

The Senior IT Manager, Data Platform role is a technical leadership role responsible for leading a data product development team focused on data ingestion, data curation, and serving enriched data to other applications while ensuring data completeness, data latency service level agreements, and monitoring source data quality. Your cloud data architecture leadership will play a vital role in the creation of solutions for SEI’s data systems. You will support the team in the creation of cloud reference architectures to promote reusable patterns and promote best practices for data storage, velocity, and consumption. While advancing and promoting enterprise data capabilities, you will provide people leadership over a development team delivering data lake, data warehouse, and data insights for our student lifecycle and corporate data. The position reports into our Information Technology department and will be part of projects that align with key strategic initiatives to meet SEI’s business objectives.

Essential Duties & Responsibilities:

1. Leads a development team in designing, developing, testing, and deploying data ingest and data serving patterns to enable the Enterprise Data Platform use cases.
2. Provides career growth and timely feedback to the development team to foster high quality deliverables and exceptional teamwork.
3. Leads cloud architecture activities to create robust design and development patterns that provide high reliability and meet data latency SLAs.
4. Establishes and monitors best practices for data ingest, data curation, and data serving solutions in GCP leveraging APIs, Google Pub/Sub, Google Dataflow, Python scripts, SQL, functions, and other services.
5. Optimizes designs and processes to provide faster time-to-market of new products, elimination of redundant solutions, and enhanced data science initiatives.
6. Prototypes new solutions where new patterns or technologies are deemed essential.
7. Advances and promotes enterprise data standards, source data quality assessment, ingest data completeness measurement, and metadata management.
8. Modernizes and creates automation in our processes and capabilities set. Identifies opportunities to apply Artificial Intelligence (AI).
9. Confirms data provisioning meets data security and auditing policies.
10. Continuously improves team performance through the selection, design, and implementation of DataOps concepts, processes, and automation tools.
11. Ensures tracking and root cause determination of cost increases associated with the cloud services related to the Enterprise Data Platform. Leads efforts to design enhancements to drive cost savings.
12. Assists in defining data privacy and data security practices and helps translate into requirements for our Enterprise Data Platform.
13. Partners with the Data Science team and Data Science Ops role to ensure seamless transfer of data model scores calculated in GCP are served to applications as expected.
14. Works closely with the Senior Product Owner of the Enterprise Data Platform to understand and align on roadmap, scope, priorities, and resourcing.
15. Promote Agile rituals such as daily stand-ups, internal sprint demos, release planning, roadmap reviews and sprint planning, are adhered to.

Job Skills:

1. Desire to develop talent and foster outcomes through exceptional collaboration and teamwork.
2. Broad cloud application and infrastructure architectural experience in a complex enterprise environment.
3. Ability to translate business strategy into a vision for technology solutions and implementation that meet performance expectations and have high degree of re-use.
4. Experience with real-time, micro-batch, and batch data ingest and data serving patterns.
5. Hands-on experience in architecting and designing solutions leveraging cloud services; GCP certification and experience is a plus including: BigQuery, Google Cloud Storage, Google Data Flow, Cloud Composer/Airflow, CDAP, REST APIs, Cloud Pub/Sub, and Python Cloud Functions.
6. Strong object-oriented programming experience using Python.
7. Experience with data processing tools: Airflow, Apache Beam.
8. Demonstrated expertise with infrastructure as code, preferably Terraform.
9. Experience with billing and cost optimization in the cloud.
10. Experience with CI/CD tools and processes, Git source code repositories, GitLab is a plus.
11. Demonstrated expertise with Cloud computing, preferably GCP (GCS, BigQuery, Cloud Functions, IAM, DataFlow).
12. Knowledge of monitoring, logging, debugging and tracing.
13. Knowledge of data governance and how regulations can impact data storage and processing solutions.
14. Experience with compute systems: Compute Engine, App Engine, and Containers on GCP.
15. Knowledge of cloud computing concepts like Virtual Private Cloud (VPC), DNS, CDN, Load Balancing and Auto Scaling.
16. Strong experience in performance tuning.
17. Strong understanding of software engineering best practices and their application to data products.
18. Experience building and implementing design and code standards and conducting code reviews.
19. Excellent written and verbal communication skills to facilitate decision making and optimal planning at all levels of the organization.
20. Passionate about learning the latest technology.

Work Experience:

1. 10+ years designing and building data ingestion, storage, and processing solutions: ETL, data modeling, pipelines and connectors, integration hubs, data access (SOA, API, SQL), platforms (traditional servers, cloud, hybrid), database types (traditional, proprietary MPP).
2. 3+ years experience object-oriented programming.
3. 3+ years leading teams that deploy enterprise data and analytics solutions.
4. 3+ years architecting, developing, and deploying scalable enterprise data solutions and applications in a cloud platform including data lake and data warehouse layers.

Education:

1. From an accredited institution; bachelor’s degree (or equivalent experience in IT).

Certificates, licenses and registrations:

1. GCP Professional Data Engineer certification preferred.