Lead Data Engineer - Data Control
Overview
This is a remote role that may only be hired in the following locations: NC, WA We are seeking a highly skilled and experienced Lead Data Engineer to lead and drive data governance, control frameworks, and advanced reconciliation processes. The ideal candidate will have a strong technical background in data engineering, regulatory compliance, and automation, with expertise in modern data platforms, tools, and frameworks. This role requires a lead with hands-on experience in designing and implement robust data control solutions while ensuring compliance with regulatory standards such as 2052A, FR370, CCPA, and GDPR.
Responsibilities
- Ensure adherence to regulatory requirements, including 2052A, FR370, CCPA, and GDPR.
- Build and maintain data privacy control frameworks to safeguard sensitive information.
- Design and implement data governance & control frameworks to ensure data integrity, security, and compliance.
- Design and implement data control frameworks for advanced reconciliation processes, data movement controls, and data quality checks.
- Establish and enforce data lineage and metadata management practices to enhance traceability and transparency and create preventive automation activities for support.
- Hands-on experience in designing, implementing, and maintaining data platform that supports data integrations for Enterprise Data Warehouse, Operational Data Store or Data Marts etc. with appropriate data access, data security, data privacy and data governance.
- Establish enterprise-scale data integration procedures, data pipelines and frameworks across the data development life cycle. Suggest and implement appropriate technologies to deliver resilient, scalable, and future-proof data solutions.
- Create data ingestion pipelines in data warehouses and other large-scale data platforms.
- Develop APIs and automation scripts to streamline data processes and enhance operational efficiency.
- Optimize data storage, processing, and retrieval systems for performance and scalability.
- Collaborate with stakeholders to deliver actionable insights through intuitive dashboards and reports.
- Mentor and guide cross-functional teams in data governance and engineering best practices.
- Collaborate with business and technical stakeholders to align data strategies with organizational goals.
- Ensure adherence to regulatory requirements, including 2052A, FR370, CCPA, and GDPR.
- Build and maintain data privacy control frameworks to safeguard sensitive information.
- Design and implement data governance & control frameworks to ensure data integrity, security, and compliance.
- Design and implement data control frameworks for advanced reconciliation processes, data movement controls, and data quality checks.
- Establish and enforce data lineage and metadata management practices to enhance traceability and transparency and create preventive automation activities for support.
- Hands-on experience in designing, implementing, and maintaining data platform that supports data integrations for Enterprise Data Warehouse, Operational Data Store or Data Marts etc. with appropriate data access, data security, data privacy and data governance.
- Establish enterprise-scale data integration procedures, data pipelines and frameworks across the data development life cycle. Suggest and implement appropriate technologies to deliver resilient, scalable, and future-proof data solutions.
- Create data ingestion pipelines in data warehouses and other large-scale data platforms.
- Develop APIs and automation scripts to streamline data processes and enhance operational efficiency.
- Optimize data storage, processing, and retrieval systems for performance and scalability.
- Collaborate with stakeholders to deliver actionable insights through intuitive dashboards and reports.
- Mentor and guide cross-functional teams in data governance and engineering best practices.
- Collaborate with business and technical stakeholders to align data strategies with organizational goals.
Qualifications
Bachelor's Degree and 6 years of experience in Advanced data engineering, enterprise architecture, project leadership OR High School Diploma or GED and 10 years of experience in Advanced data engineering, enterprise architecture, project leadership Preferred Functional Skills:
- Team Player: Support peers, team, and department management.
- Communication: Excellent verbal, written, and interpersonal communication skills.
- Problem Solving: Excellent problem-solving skills, incident management, root cause analysis, and proactive solutions to improve quality.
- Partnership and Collaboration: Develop and maintain partnership with business and IT stakeholders
- Attention to Detail: Ensure accuracy and thoroughness in all tasks.
Technical/ Business Skills:
- Proficiency in Python for data engineering frameworks and automation tasks.
- Strong Experience with advanced reconciliation frameworks and data movement controls.
- Automate data integration, transformation, and quality checks using tools like Denodo, DBT, and Qlik.
- Technical expertise working in large scale Data Warehousing applications and databases such as Snowflake, Oracle, Postgres, Netezza, Teradata, and SQL Server.
- Expertise in Collibra data lineage, metadata management, and data quality control frameworks for regulatory and compliance.
- Semantic Data modelling experience and advanced reporting solution using Power BI, Tableau & Qlik and Splunk for monitoring
- Setting up role-based access controls (RBAC) in Snowflake
- Experience with public cloud-based data platforms especially AWS.
- Experience in Data control, Observability frameworks, Tools/ Technologies
- Experience working in Financial Industry
- Strong leadership and communication skills to influence and guide teams.
- Knowledge of modern data architecture and cloud platforms.
This role is ideal for a Lead data engineer who thrives in a dynamic, fast-paced environment and is passionate about building robust, compliant, and scalable data solutions. If hired in WA, the base pay for this position is generally between $125000 and $165000. If Actual starting base pay will be determined based on skills, experience, location, and other non-discriminatory factors permitted by law. For some roles, total compensation may also include variable incentives, bonuses, benefits, and/or other awards as outlined in the offer of employment. Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits. Qualifications: Bachelor's Degree and 6 years of experience in Advanced data engineering, enterprise architecture, project leadership OR High School Diploma or GED and 10 years of experience in Advanced data engineering, enterprise architecture, project leadership Preferred Functional Skills:
- Team Player: Support peers, team, and department management.
- Communication: Excellent verbal, written, and interpersonal communication skills.
- Problem Solving: Excellent problem-solving skills, incident management, root cause analysis, and proactive solutions to improve quality.
- Partnership and Collaboration: Develop and maintain partnership with business and IT stakeholders
- Attention to Detail: Ensure accuracy and thoroughness in all tasks.
Technical/ Business Skills:
- Proficiency in Python for data engineering frameworks and automation tasks.
- Strong Experience with advanced reconciliation frameworks and data movement controls.
- Automate data integration, transformation, and quality checks using tools like Denodo, DBT, and Qlik.
- Technical expertise working in large scale Data Warehousing applications and databases such as Snowflake, Oracle, Postgres, Netezza, Teradata, and SQL Server.
- Expertise in Collibra data lineage, metadata management, and data quality control frameworks for regulatory and compliance.
- Semantic Data modelling experience and advanced reporting solution using Power BI, Tableau & Qlik and Splunk for monitoring
- Setting up role-based access controls (RBAC) in Snowflake
- Experience with public cloud-based data platforms especially AWS.
- Experience in Data control, Observability frameworks, Tools/ Technologies
- Experience working in Financial Industry
- Strong leadership and communication skills to influence and guide teams.
- Knowledge of modern data architecture and cloud platforms.
This role is ideal for a Lead data engineer who thrives in a dynamic, fast-paced environment and is passionate about building robust, compliant, and scalable data solutions. If hired in WA, the base pay for this position is generally between $125000 and $165000. If Actual starting base pay will be determined based on skills, experience, location, and other non-discriminatory factors permitted by law. For some roles, total compensation may also include variable incentives, bonuses, benefits, and/or other awards as outlined in the offer of employment. Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits. Education:UNAVAILABLEEmployment Type: FULL_TIME Apply tot his job Apply To this Job