Data Architect / Principal Data Engineer

Hi,

Please send the suitable profiles for the below requirement.

Role: Data Architect / Principal Data Engineer III

Location: Cincinnati, OH (relocation on own expense preferred)

Duration: Long term

Role Focus

• This is a senior, hands-on data engineering role centered on building modern data products for the Disputes line of business.
• The engineer will join the Disputes IT Squad, which is in the middle of a full redesign and re-platforming effort mainly around the debit disputes process (80% of total volume) and related back-book migration.

Core Responsibilities

• Own critical data engineering work from day one must be capable of driving projects independently.
• Build a single pane of glass data product that integrates multiple use cases (currently four major ones):
• Reconciliation files
• Business operations reporting for Disputes
• Fraud collaboration data (for Financial Crimes)
• Other regulatory/financial use cases
• Map and modernize data: connect legacy processes to new data domains while ensuring end-to-end connectivity and quality.
• Work with another internal data team to upskill them and transition ownership long term.
• Partner closely with business stakeholders to translate complex requirements into practical data solutions focus on simplifying and unifying overlapping use cases into one cohesive data view.

Tech Stack & Skills

• Must Have:
• Snowflake (core platform for data products)
• Elevate and DBT
• ETL tools (IBM DataStage or equivalent)
• SQL, scripting (Python, Java)
• Kafka (for real-time event streaming)
• Nice to Have:
• Experience designing data architecture in complex operational environments
• Exposure to financial or regulated industries
• CI/CD tools (Jenkins, GitHub, MettleCI)
• The key differentiator: design-level ownership and ability to influence architecture not just hands-on coding.

Candidate Profile

• Experienced Data Engineer or Architect not a junior or mid-level contributor.
• Proven ability to lead design discussions, translate business needs into technical designs, and streamline overlapping data requirements.
• Comfortable working in a fast-moving, high-stakes program.
• Must be onsite in Cincinnati, OH (relocation on own expense preferred).

Interview Plan

• Initial screening by team assess fit, skill alignment, and experience depth.
• Panel interview (if strong fit) deeper technical deep dive focused on design, data product experience, and practical problem-solving.
• Potential for single-step panel if the candidate looks exceptional.

Hiring Manager Emphasis

• Needs someone ready to own and deliver immediately.
• Strong communication and simplification skills can see patterns across use cases and design efficiently.
• Not looking for a "heads-down developer"; wants someone who thinks like an architect and communicates like a partner.

Srini

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