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 & Dev Ops, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Fin Labs 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).

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, lake houses, 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

• 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, No
  
  SQL, 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…