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Dev Lead Data Governance Solutions
2 months ago
Job Summary
Leads in the technical design and development of cross-functional, multi-platform data systems. Applies extensive, in-depth knowledge, skills, and practices to perform complex assignments.
Job Description
What is the Opportunity?
Are you a talented, creative, and results-driven professional who thrives on delivering high-performing data applications? Come join us at Royal Bank of Canada.
We are part of the Technology and Operations division, collaborating with partners from across the company to deliver innovative and transformative IT solutions. Our clients represent various business units, and we lead the development of digital tools and platforms to enhance collaboration.
The Data Strategy Team is responsible for supporting various data lineage activities within Royal Bank of Canada, as well as spearheading deployment of strategic analytic initiatives through collaboration with major functions within the bank.
We value a positive attitude, willingness to learn, open communication, teamwork, and commitment to clean, secure, and well-tested code.
What will you do?
The Development Lead contributes to setting a clear vision and strategic direction for data governance initiatives. This involves understanding the long-term goals of the organization and aligning data governance strategies accordingly. Moreover, the incumbent plays a key role in motivating and inspiring the team to achieve high standards and embrace the data governance framework when engaging with various stakeholders across the Enterprise. Articulate complex data governance concepts in a way that is easily understood by various stakeholders, including technical teams and business users.
- Cross-functional collaboration: Fostering a collaborative environment where various departments work together towards common data governance goals. This includes IT, legal, compliance, and business units. Develop strong relationships with stakeholders across the Enterprise.
- Analytical thinking: Ability to analyze complex problems, identify root causes, and develop effective solutions. This is crucial for addressing data governance challenges and improving data quality. Making informed and timely decisions to keep data governance initiatives on track.
- Adaptability and flexibility: Be flexible and open to change, especially as new data governance technologies, regulations, and best practices emerge. Seek feedback to improve performance and effectiveness in projects.
- Project and resource management: Contribute to multiple data governance projects simultaneously, ensuring that they are completed on time and within budget. Efficiently allocate resources to maximize the impact of data governance initiatives.
What do you need to succeed?
Must-have
- Undergraduate degree or higher, preferable in Computer Science, Engineering, or Finance or other quantitative discipline; minimum of 7 years of experience in a similar role.
- Having demonstrated advanced programming skills in Python, especially in data manipulation, automation, and analytics. Prior experience in Java/Scala for developing custom data processing solutions and integrations.
- Shell Scripting: Advanced shell scripting skills for automating administrative tasks and data processes.
- Deep understanding of both relational (SQL Server, Oracle) and non-relational databases (NoSQL, MongoDB). Advanced SQL Proficiency: Ability to write complex SQL queries, optimize performance, and manage large-scale data operations.
- Prior extensive experience with at least one of the tools like Apache Atlas, Informatica, Collibra, Talend, Alation, and other data lineage and governance platforms, especially prior experience in customization and integration: having demonstrated the ability to implement, configure, customize, and integrate these tools to fit organizational needs.
- Expertise in at least one ETL tools such as Informatica, Talend, Microsoft SSIS, and Apache NiFi.
- Data Integration Design: Designing robust data integration frameworks to ensure seamless data flow across systems.
- Hadoop/Spark: Expertise in using big data technologies like Hadoop and Apache Spark.
- Managing Metadata Repositories: Experience with setting up and managing metadata repositories.
- Implementing Standards: Familiarity with implementing metadata standards and frameworks to maintain data quality and governance.
Nice-to-have
- Cloud Platforms: Proficiency with AWS, Google Cloud, or Azure for scalable data storage, processing, and analytics solutions.
- ETL processes and tools: Understanding of ETL tools like Informatica, Talend, or Microsoft SSIS.
- Experience with setting up and managing metadata repositories; familiarity with implementing metadata standards and frameworks to maintain data quality and governance.
What's in it for you?
- We thrive on the challenge to be our best, encourage progressive thinking to keep growing, and believe in working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, about reaching our potential, about making a difference to our communities, and achieving success that is mutual.
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.
- Leaders who support your development through coaching and opportunities to grow.
- Ability to make a difference and have a lasting impact.
- A world-class training program in financial services.
- Flexible work/life balance options.
