
Chief Data Architecture Strategist
5 days ago
Job Summary:
We seek a visionary leader to spearhead our data engineering efforts. The successful candidate will design and develop scalable real-time & batch data pipelines, drive strategic initiatives, and enhance data governance & compliance frameworks.
Key Responsibilities:
- Develop and maintain complex data architectures that support increasing data demands.
- Collaborate with cross-functional teams to establish data domains across banking products, ensuring security, governance, and compliance.
- Oversee ETL processes, data modeling, integration, orchestration, and automation for seamless data operations.
- Work with analysts, data scientists, and business stakeholders to improve data models, enhance accessibility, and enable data-driven decision-making.
- Provide L2/L3 support, debug data issues, and ensure high availability & quality of production data.
- Implement risk controls, audit reviews, RCSA, and maintain compliance with data privacy regulations through access controls, encryption, and masking.
- Identify and mitigate bottlenecks, forecast storage & processing needs, and ensure a scalable data infrastructure.
Requirements:
To be successful in this role, you must have:
- Expertise in designing and developing scalable real-time & batch data pipelines.
- Strong understanding of data governance, security, and compliance frameworks.
- Experience in working with cross-functional teams to establish data domains and drive strategic initiatives.
- Proficiency in ETL processes, data modeling, integration, orchestration, and automation.
- Excellent collaboration and communication skills.
- Ability to provide L2/L3 support and debug data issues.
- Knowledge of data privacy regulations and ability to implement risk controls and maintain compliance.
Skills and Qualifications:
The ideal candidate should possess a strong background in data engineering, architecture, and governance. A bachelor's or master's degree in Computer Science, Information Technology, or a related field is required. Additionally, the following skills are necessary:
- Programming languages (Python, Java, etc.)
- Database management systems (MySQL, MongoDB, etc.)
- Data warehousing and business intelligence tools (Tableau, Power BI, etc.)
- Cloud platforms (AWS, Azure, Google Cloud, etc.)
What We Offer:
As a valued member of our team, you can expect:
- A competitive salary and benefits package.
- Ongoing training and professional development opportunities.
- A dynamic and supportive work environment.
- The chance to work on challenging projects and contribute to the growth of our organization.
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