Data Architect

A360 is looking for a Data Architect to design and oversee the data foundations behind our client engagements across Banking, Insurance, Retail, and Sports. You'll shape how data is structured, integrated, and governed for clients undertaking migrations, integrations, and modernization initiatives – working closely with delivery teams to translate business requirements into scalable, secure data architectures. These solutions will span a variety of technology stacks, including but not limited to Snowflake and Databricks, so comfort moving across platforms rather than specializing in just one is essential. About You You think in systems, not just schemas. You can look at a client's messy, disparate data landscape and see the path to a clean, governed, scalable architecture – and you can explain that path clearly to both engineers and business stakeholders. You've worked across more than one data platform and don't get precious about any single tool. You're comfortable being hands‑on with design and documentation while also advising delivery leads on tradeoffs and risk. You care about getting the foundations right because you've seen what happens to projects when they aren't. Primary Responsibilities Design end‑to‑end data architectures for client engagements, including data models, integration patterns, and storage/compute strategies Lead technical discovery to assess clients' existing data landscapes and define migration or integration approaches Architect solutions across a variety of technology stacks, including but not limited to Snowflake and Databricks, selecting the right platform and pattern for each client's context Define data governance, quality, and security standards for client solutions, particularly for regulated industries like Banking and Insurance Partner with Data Engineers and delivery teams to ensure architectural designs are implemented correctly and remain scalable post‑launch Produce architecture documentation, diagrams, and technical specifications for both internal delivery teams and client stakeholders Advise on tooling and platform decisions during presales and solutioning, balancing client preference, cost, and technical fit Stay current on evolving data platform capabilities and identify opportunities to bring new approaches into A360's delivery methodology Ideal Qualifications 6+ years of experience in data architecture, data engineering, or a related field Hands‑on experience with Databricks (required), plus at least one additional major cloud data platform (e.g., Snowflake, BigQuery, Redshift) – including practical experience with Delta Lake, Unity Catalog, and lakehouse architecture patterns Experience with the underlying cloud infrastructure (AWS, Azure, or GCP) supporting modern data platform deployments, and familiarity with data integration/migration tooling such as dbt, Fivetran, Matillion, or Airflow Comfortable mentoring and upskilling engineers with adjacent platform experience (e.g., Snowflake‑only backgrounds) as part of building out multi‑platform delivery capability Expertise in designing and building data warehouses, lakehouses, and master data management (MDM) solutions Strong understanding of data modeling, ETL/ELT design, and data governance practices Experience architecting solutions for regulated industries (Banking, Insurance) a plus Familiarity with data integration and migration projects, including legacy system modernization Ability to communicate architectural decisions clearly to both technical and non‑technical audiences Experience working in a consulting or client‑services environment preferred #J-18808-Ljbffr