Sr Data Quality Engineer I

Job Description:

Essential Job duties and responsibilities:

• Lead the roadmap, approach, and socialization of Data quality processes to drive our division’s Data Quality strategy forward.
• Define the data quality standards and rules and disseminate this information out to the business and technical communities who will be capturing and creating metadata.
• Analyze data and partner with domain owners, data stewards, and other business and IT stakeholders to ensure data quality is per business need and provide insights on health of data.
• Enhance and support DQ application as technical lead.
• Collaborate across business and technical associates to identify and resolve data errors/issues, escalating material issues that could impact business decision-making.
• Implement data quality and observability framework and utilize data quality tools and techniques to help ensure that data accuracy is appropriate for the intended business use. Facilitate and ensure that business rules are maintained, and data anomalies are resolved appropriately.
• Play a leading role within project teams in the development and deployment of Data Quality process improvement deliverables using the lean methodology.
• Intersect process requirements to Data Quality technology needs and business value measurements by identifying KPIs and build dashboards for DQ Insights.
• Partner with other Data Management Analysts and the Data Steward community to drive adoption of data quality in each business area, ensuring alignment with Enterprise standards.
• Build effective relationships with key business partners across the company.
• Act as the focal point for Divisional and Analytics business partners, who are driving data strategy and requirements.
• Support effective communication and training for data quality process, tools, and measurements.

Minimum Qualifications and Experience:

• Minimum of 5 years’ Data Quality and governance experience that covers standards and policies, data error resolution, and data quality practices including data profiling and data quality monitoring.
• 5 years of experience defining and establishing data quality processes within an enterprise that covers domains such as customer, finance, and compliance.
• 3+ years’ experience using a Data quality tool, Prior experience selecting and implementing a Data quality framework and toolset.
• 3+ years’ experience and have intermediate skill set in Python, AWS, SQL, CI/CD practices.
• 1+ years’ experience in data management space with clear understanding of ETL process in cloud-based platforms.
• 1+ years’ experience in designing, building, and overseeing the deployment and operation of technology architecture, solutions and software related to Data Quality and Observability framework.
• 1+ years’ experience with QA automation tool implementation and support.
• Experience with Cloud computing software like Snowflake, Data transformation tools like Matillion, DBT, data visualization tools like PowerBI are must.
• Deep experience in a data management practices and data quality management tools including ML based observability tools.
• Demonstrates understanding of business and data strategy and how it’s connected to Data Quality.
• Demonstrates experience with metrics gathering, tracking, and reporting.
• Intermediate level SQL query writing experience
• Experience working on complex business/technology initiatives within and across multiple verticals/domains.
• Strong written communication skills including experience drafting policies and procedures.
• Strong Stakeholder management, relationship building skills, demonstrated consultative approach, and influencing skills is a must.
• Demonstrated project management skills.
• Ability to analyze complex data issues and determine appropriate policies, standards, and solutions to enhance the experience for data users.
• Highly self-motivated, willingness to take personal risk and detail oriented.

Preferred

• Data management experience in the Financial Services Industry
• Knowledge of data warehouse, data lakes and other associated technologies
• Two or more years of utilizing any Data Quality toolset
• Certified Business Intelligence Professional (CBIP) or Certified Data Management Professional (CDMP), AWS certifications

Base Pay Range:

The base pay range noted represents the company’s good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay.

$118,800.00 - $145,200.00

Your Benefits Start Day 1  
 

Your wellbeing is important to Pacific Life, and we’re committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we’ve got you covered.

• Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents

• Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off

• Paid Parental Leave as well as an Adoption Assistance Program

• Competitive 401k savings plan with company match and an additional contribution regardless of participation

EEO Statement:

Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.