Sr. Data Architect

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile‑first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,850+, and has 60 offices in 20 countries within key global markets.

We are seeking an experienced Data Architect with strong expertise in the banking domain to design, govern, and optimize enterprise‑wide data architecture initiatives. The ideal candidate will play a key role in defining data models, building scalable data platforms, ensuring regulatory compliance, and enabling high‑quality data solutions that support business intelligence, analytics, digital banking, risk management, and regulatory reporting.

The candidate should have deep knowledge of banking data domains such as customer, accounts, loans, payments, transactions, treasury, risk, compliance, and finance, along with strong technical expertise in modern data architecture, cloud platforms, data governance, and integration patterns.

Additional Information*

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Toronto, ON is CAD $120K - CAD $140K/year & benefits (see below).

The Role

Responsibilities:

Define and maintain the enterprise data architecture roadmap aligned with banking business objectives and IT strategy.

Design conceptual, logical, and physical data models for banking applications and enterprise data platforms.

Build scalable architecture for data warehouses, data lakes, lakehouses, master data management, and real‑time data platforms.

Establish and enforce data standards, governance policies, data quality rules, metadata management, and lineage frameworks.

Collaborate with business stakeholders, product owners, solution architects, and engineering teams to translate business requirements into data architecture solutions.

Drive architecture for core banking data domains including:

• Customer Information
• Deposits & Accounts
• Loans & Mortgages
• Payments & Cards
• AML / KYC
• Treasury & Finance
• Regulatory Reporting

Requirements:

• 10+ years of experience designing enterprise data architectures and platforms at scale, with substantial exposure to capital markets environments and trading technology ecosystems.
• Deep knowledge of the capital markets trade lifecycle and how data requirements flow through execution, clearing, settlement, and risk management processes.
• Deep, hands‑on expertise with Databricks, including SQL analytics, Delta Lake, Lakehouse architectures, and OLTP capabilities.
• Strong experience with Snowflake, including warehouse design, multi‑cluster configurations, and data sharing patterns.
• Broad, hands‑on familiarity with multiple database technologies—relational, NoSQL, time‑series, streaming, and specialized trading data platforms— with the ability to evaluate their strengths, limitations, and integration patterns.
• Understanding of how different database technologies integrate with computing platforms and programming languages, with the ability to assess alignment between technology choices across a complex stack.
• Proven experience designing and implementing data catalog solutions; familiarity with Collibra and evaluation of other data catalog platforms.
• Deep understanding of data lineage architecture, implementation approaches, and integration with governance workflows.
• Demonstrated experience defining and operationalizing data products, including product frameworks, ownership models, and consumption patterns.
• Strong understanding of data hubs and their role in orchestrating data products and enabling cross‑platform data ecosystems.
• Proven experience designing semantic layers and their application in BI reporting and self‑service analytics environments.
• Experience architecting data federation and multi‑source integration patterns, including catalog federation approaches.
• Strong experience in tool evaluation and selection for data technologies through proof‑of‑concept and assessment processes; ability to research, evaluate, and assess emerging technologies and tools against organizational requirements and architectural principles.
• Experience analyzing and consolidating technology portfolios, identifying redundancies, and establishing technology standards across large organizations.
• Excellent verbal and written communication skills with the ability to translate technical concepts for business audiences and document complex architectural decisions clearly.
• Demonstrated ability to work effectively in cross‑functional environments with both business stakeholders and technical architecture teams.

Preferred skills:

• Hands‑on experience implementing Collibra or other enterprise data catalog solutions in large organizations.
• Experience with GenAI data consumption patterns and LLM‑driven analytics platforms.
• Familiarity with data mesh and federated governance models aligned with data product thinking.
• Knowledge of data quality frameworks and automated governance enforcement across heterogeneous platforms.
• Experience with data lineage solutions beyond basic tool capabilities; proficiency in custom lineage implementations.
• Familiarity with technology stack, regulatory environment, or capital markets infrastructure.
• Background in data federation and catalog federation approaches across heterogeneous environments.
• Experience mentoring or leading distributed architecture teams.
• Knowledge of financial services data governance and compliance requirements.
• Exposure to advanced Databricks capabilities such as UC (Unity Catalog) and cross‑workspace governance.

We offer:

• A multinational organization with 60 offices in 20 countries and the possibility to work abroad.
• 15 days (3 weeks) of paid annual leave plus an additional 10 days of personal leave (floating days and sick days).
• A comprehensive insurance plan including medical, dental, vision, life insurance, and long‑term disability.
• Flexible hybrid policy.
• RRSP with employer’s contribution up to 4%.
• A higher education certification policy.
• On‑demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
• Cutting edge projects at the world’s leading tier‑one banks, financial institutions and insurance firms.
• A truly diverse, fun‑loving and global work culture.

S YNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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