Associate Data Architect I

Associate Data Architect I

We are seeking a senior data analyst to support a critical finance transformation initiative by ensuring data accuracy, completeness, and readiness—especially for the FP&A/Planning (BPM) workstream. The organization is implementing planning modules (Oracle BPM/EDM/EBPCS) and will feed data from upstream platforms such as Snowflake/Databricks into these systems. This role will focus on vetting and validating upstream and downstream data, performing analysis to ensure correctness, and partnering closely with the data architect to support the RDMP platform goals. This role requires someone senior who can ask the right questions, challenge assumptions, investigate upstream issues, and ensure data truly solves the business problem (single source of truth for finance).

Key responsibilities include:

• Perform data validation and vetting for FP&A/Planning use cases
• Conduct data analysis to ensure accuracy and consistency across domains
• Build and execute data quality checks and validation routines
• Work closely with the data architect to support RDMP platform build
• Collaborate with FP&A partners and domain stakeholders

Required qualifications include:

• 7–10+ years of experience as a data analyst/senior data analyst in enterprise data environments
• Strong experience in data analysis and validation using SQL and analytical techniques
• Data profiling and reconciliation across multiple sources
• Strong hands-on exposure to Snowflake, Databricks, Azure ecosystem (data services understanding), and familiarity with Oracle planning modules (BPM/EDM/EBPCS) and/or finance planning data flows
• Strong critical thinking and ability to ask probing questions across upstream/downstream systems

Preferred qualifications include:

• Finance domain experience (FP&A, Accounting, Revenue, Tax, Treasury) or similar data-intensive domains
• Experience supporting data for forecasting/modeling/ML initiatives (data readiness and quality)
• Familiarity with data lineage, observability, and governance practices

Key skills & competencies include:

• Strong attention to detail; data accuracy-first mindset
• Ability to independently investigate issues and drive closure
• Strong ownership and urgency—bias for action
• Strong stakeholder communication; can bridge business + technical teams

Interview evaluation focus includes:

• Scenario-based data validation and reconciliation discussions
• Demonstrated examples of finding root causes across complex data flows
• Ability to challenge upstream issues and define “what good data looks like”
• Practical SQL/data reasoning skills

TekWissen® Group is an equal opportunity employer supporting workforce diversity.