What you will accomplish in this rolePosition Summary:The Senior Data Engineer serves as a primary development resource for design, build, implementation and support of Data Governance initiatives within Data Transformation & Innovation (DTI) department. The role requires working closely with data teams, frequently in a matrixed environment as part of a broader project team. This role will be responsible for developing and implementing a data strategy and framework to address multiple data governance initiatives, while maintaining a high level of logistical management for mission-critical projects as identified by the business owners, primarily, the DT&I department.
As a senior-level position the role requires 'self-starters' who are proficient in problem solving and capable of bringing clarity to complex situations. The culture of the organization places an emphasis on teamwork, so social and interpersonal skills are equally important as technical capability. Due to the emerging and fast-evolving nature of Big Data/GCP technology and practice, the position requires that one stay well-informed of technological advancements and be proficient at putting new innovations into effective practice.
In addition, this candidate will have a history of increasing responsibility in a small multi-role team. This position requires a candidate who can analyze business requirements, perform design tasks, construct, test, and implement solutions with minimal supervision. This candidate will have a record of accomplishment of participation in successful projects in a fast-paced, mixed team (consultant and employee) environment. In addition, the applicant must be willing to mentor other developers to prepare them for assuming the responsibilities.
What you will do in this role:
Core Competencies The following are highlighted entrepreneurial competencies and core expectations for the job/role:
- Communication and interpersonal skills
- Problem-solving and critical thinking skills.
- Understand strategic imperatives
- Technology & business knowledge
This role will provide application development for specific business environments. Focus on setting technical direction on groups of applications and similar technologies as well as taking responsibility for technically robust solutions encompassing all business, architecture, and technology constraints.
- Responsible for building and supporting a GCP based ecosystem designed for enterprise-wide analysis of structured, semi-structured, and unstructured data.
- Ensure service levels are maintained and any interruption is resolved in a timely fashion
- Analyze requirements, design AI/ML based solutions, and integrate those solutions for customer environments.
- Closely collaborates with team members to successfully execute development initiatives using Agile practices and principles
- Leads efforts to design, development, deploy, and support software systems
- Collaborates with data stewards, business analysts, project lead, management and customers on requirements
- Participates in the deployment, change, configuration, management, administration and maintenance of deployment process and systems
- Proven experience effectively prioritizing workload to meet deadlines and work objectives
- Works in an environment with rapidly changing business requirements and priorities
- Work collaboratively with business and IT leaders throughout the company to understand Data needs and use cases.
What qualifications you will need:- Bachelor's degree in computer science, related technical field, or equivalent experience
- Master's degree in computer science or related field preferred
- 3+ years of experience in Data Engineer required
- 1+ year(s) of experience in Healthcare preferred
- 5+ years of experience in Information Technology required
A successful candidate will have:
- Strong understanding of data governance and data lifecycle management principles, best practices, standards and controls.
- Ability to define, implement, and enforce data standards as related to data warehousing, data management, metadata management, reference data management (RDM), and master data management (MDM) concepts.
- Hands-on experience with database management platforms, including:
- Relational: Teradata, Oracle, Microsoft SQL Server, and Db2
- Cloud: Google Cloud Platform (GCP)
- Experience implementing, configuring, and supporting industry-leading data governance and data quality platforms (e.g. Ataccama, and IBM Cloud Pak)
- Experience designing and automating data quality (DQ) processes to enable scalable prevention, detection, monitoring, and remediation of data quality issues.
- Familiarity with data governance controls, compliance audits, risk assessments, and ongoing compliance monitoring, including the ability to identify and remediate data governance risks.
- Ability to establish priorities, define delivery timeframes, automate and continuously improve data governance processes across data domains.
- 2+ years of hands-on experience with Google Cloud Platform (GCP), with experience in several of the following technologies and capabilities:
- Gemini, Model Context Protocol (MCP), YAML, GitHub
- BigQuery, Bigtable
- Basic understanding of Apache Airflow DAGs and workflow orchestration
- Exposure to machine learning and AI models, with an understanding of how data quality, completeness, consistency, accuracy and lineage can impact model performance and outcomes.
- Ability to consult with data product teams to identify opportunities to derive business value from data and provide guidance on where authoritative and appropriate data resides within the enterprise data ecosystem.
- Experience with CI/CD and automated deployment practices.
- Strong ability to multitask, manage competing priorities, and deliver results in a fast-changing environment.
- Strong problem-solving skills, with the ability to establish structure, apply industry best practices, and develop practical solutions to complex data governance and data quality challenges.
- Strong verbal, written, and interpersonal skills, including a desire to work within a highly-matrixed, team-oriented environment.
- Demonstrates ability to work collaboratively with data governance leads, data engineers, data architects, data stewards, data product owners, business stakeholders, and technology teams to establish and operationalize effective data governance practices.
A successful candidate may have:
- Experience in Healthcare Domain
- API development and integration
- Hardware/Operating Systems:
- Linux, UNIX
- GCP
Certifications (a plus, but not required):
- GCP Cloud Professional Data Engineer
PHYSICAL DEMANDS/WORKING CONDITIONS (Specific statements of physical effort required and description of work environment; e.g., prolonged sitting at CRT. required travel %)
- Prolonged sitting or standing at computer workstation including use of mouse, keyboard, and monitor.
- Requires ability to provide after-hours support.
