Senior Data Platform / Data Solutions Lead (Capital Markets)

Requirements Job Title: Senior Data Platform / Data Solutions Lead (Capital Markets) Overview We are seeking a highly analytical and strategic professional to join our team as a Data Solutions Lead. This role is ideal for someone who thrives in complex, ambiguous environments and enjoys shaping the design and evolution of large-scale data platforms. You will act as a key thought partner across business and technology teams, driving discussions that define not only what needs to be built, but what should be built. Key Responsibilities Partner with business and technology stakeholders to define end-to-end data solutions, moving beyond requirements gathering into solution design and shaping Challenge assumptions, identify gaps, and resolve inconsistencies across stakeholder inputs Facilitate alignment across teams, especially in situations involving conflicting priorities or viewpoints Perform detailed data profiling, gap analysis, and impact assessments across multiple source systems Analyze trade, position, and lifecycle event data across various asset classes Define and implement data mapping standards, business rules, data lineage, and data quality controls Evaluate and recommend data models and architectural approaches Collaborate closely with engineering teams to translate business needs into scalable, production-ready solutions Influence target-state architecture, platform strategy, and operating model design Drive structured discussions to enable decision-making in complex environments Technology Environment You will operate within a modern data ecosystem that includes: Capital markets trade and position data Python Apache Kafka Databricks Azure Data Lake Storage (ADLS) Dremio SQL JSON-based data structures Large-scale data processing, reconciliation, and analytics workflows Core Capabilities Ability to navigate complex discussions with diverse stakeholder groups Strong analytical skills to identify root causes and data inconsistencies quickly Capability to translate complex data problems into clear, actionable solutions Structured thinking with a data-driven approach to decision-making Ability to influence stakeholders and drive consensus Mindset of a trusted advisor rather than a pure execution-oriented resource Required Experience Strong experience working with Capital Markets data (trade, position, lifecycle events) Exposure to multiple asset classes (e.g., equities, fixed income, derivatives) Proven background in data modeling, data architecture, or advanced data analysis in large-scale environments Matrix is a global, dynamic, and fast‑growing technology services and consulting company with over 17,000 employees worldwide. Founded in 2001, Matrix has grown through significant organic expansion and strategic acquisitions, executing some of the largest and most impactful technology projects in the market. We specialize in the design, development, and implementation of advanced technologies, software solutions, and digital products. Our services include infrastructure and consulting, IT outsourcing and offshore delivery, training and assimilation programs, and acting as a trusted implementation and delivery partner for the world’s leading software vendors. With deep expertise across both the private and public sectors—spanning Finance, Telecom, Healthcare, Hi‑Tech, Education, Defense, and Security—Matrix serves a strong customer base in Israel alongside a continuously expanding global client portfolio. At Matrix, our people are at the heart of our success. We are a community of talented, creative, and dedicated professionals who are passionate about innovation and excellence. We actively attract, develop, and retain top talent, recognizing that every employee’s contribution is critical to our continued growth and future success. Matrix’s success is built on a challenging and engaging work environment, competitive compensation and benefits, and meaningful career development opportunities. We foster a diverse, inclusive culture that encourages collaboration, continuous learning, and growth—together. Join the winning team. Be challenged, grow your career, and enjoy the journey in a highly respected global organization. To learn more, visit: www.matrix-ifs.com EQUAL OPPORTUNITY EMPLOYER: Matrix is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind. Matrix is committed to the principle of equal employment opportunity for all employees, providing employees with a work environment free of discrimination and harassment. All employment decisions at Matrix are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, family or parental status, or any other status protected by the laws or regulations in our locations. Matrix will not tolerate discrimination or harassment based on any of these characteristics. Matrix encourages applicants of all ages.

The role involves partnering with business and technology stakeholders to design end-to-end data solutions for capital markets. Key duties include performing data profiling, defining mapping standards, and influencing target-state architecture and platform strategy.

Candidates must have strong experience with capital markets data across multiple asset classes and a proven background in data modeling or architecture. Strong analytical skills and the ability to drive consensus among diverse stakeholder groups are essential.

• Competitive Compensation • Meaningful Career Development Opportunities

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data Modeling
• Data Architecture
• Capital Markets Data
• Solution Design
• Data Profiling
• Gap Analysis
• Data Lineage
• Data Quality Controls
• Stakeholder Management
• Apache Kafka
• Databricks
• Azure Data Lake Storage
• Dremio
• SQL
• JSON
• Large-scale Data Processing

• Data & Analytics
• Finance & Accounting
• Technology
• Consulting
• Management & Leadership

Expérience minimale

10+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine