Data Architect / Data Engineering Lead - Finance at Accenture

Job description

We Are  The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI — backed by a $3B investment and commitment to our people to do industry-defining work.  With over 45,000 professionals dedicated to Data & AI, Accenture’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.  You are A strong Data Architect / Data Engineering Lead who can provide technical leadership, architectural direction, and engineering governance for enterprise data platform initiatives. This role is not intended for a hands-on-only developer profile. The ideal candidate should be able to guide the team on overall architecture, data engineering best practices, design patterns, governance, data quality, and scalable implementation approaches. The candidate should be an independent thinker who can evaluate requirements, challenge weak designs, influence stakeholders, and ensure that sound data engineering principles are consistently adopted across the team. The Work Architecture and Design Leadership Lead the design of scalable, reliable, and governed data solutions across ingestion, transformation, standardization, and consumption layers. Define and guide implementation of enterprise data architecture patterns, including Bronze, Silver, and Gold layer design. Review business requirements and translate them into robust technical and data architecture designs. Provide architectural guidance on data modeling, data standardization, reusable frameworks, pipeline design, and downstream consumption patterns. Ensure solutions are designed for scalability, auditability, performance, security, and maintainability. Data Engineering Best Practices Establish and enforce production-grade data engineering principles, including idempotency, restartability, observability, auditability, lineage, and automated validation. Guide the team on proper use of Databricks, Delta Lake, Unity Catalog, orchestration, and lakehouse architecture patterns. Define standards for pipeline design, naming conventions, audit columns, error handling, data quality checks, and deployment readiness. Review technical designs and code to ensure adherence to architecture and engineering standards. Identify and reduce technical debt by promoting reusable, modular, and maintainable implementation patterns. Data Quality, Governance, and Standardization Define data quality and validation strategies across Bronze, Silver, and Gold layers. Design exception handling patterns for records that fail validation, have missing mappings, or cannot be standardized. Ensure mapping, reference, and master data (e.g., chart of accounts, cost center, product, and customer hierarchies) are managed as governed data rather than hardcoded pipeline logic. Support effective-dated mapping and reference data patterns, audit history, access control, and controlled promotion processes. Design reprocessing approaches to handle corrected mappings, reference data changes, source changes, late adjustments (e.g., financial restatements or prior-period corrections), and data quality remediation. Leadership and Team Enablement Act as a technical lead and mentor for data engineers, helping them think beyond task execution and apply engineering judgment. Conduct solution design reviews, code reviews, and implementation checkpoints. Challenge weak or short-term designs constructively and recommend scalable alternatives. Help the team balance delivery timelines with engineering quality and long-term maintainability. Create reusable architecture patterns, templates, design checklists, and reference implementations for the team. Work closely with delivery leads, platform teams, business stakeholders, QA, and data stewards to ensure successful delivery. Stakeholder Communication Engage with business and IT stakeholders to understand business needs, data challenges, and expected outcomes. Explain architecture options, tradeoffs, risks, and recommendations in a clear and practical manner. Proactively identify risks, data gaps, requirement ambiguities, and implementation concerns. Provide leadership-level visibility into design decisions, data risks, remediation plans, and delivery quality. Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. Here’s what you need Minimum of 8 years of experience in enterprise data architecture, data engineering, and lakehouse implementation, with a demonstrated track record of leading architecture efforts on large-scale, enterprise-grade data platforms. Minimum of 5 years of hands-on experience with Databricks, Delta Lake, PySpark, SQL, and modern cloud data platforms, with the ability to guide technical teams and review implementation quality. Minimum of 5 years of experience designing and governing production-grade data pipelines with idempotency, restartability, auditability, lineage, monitoring, and exception handling. Minimum of 4 years of experience with mapping data, reference data, master data, data standardization, and effective-dated design patterns in complex enterprise environments. Bachelor s degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience) Professional Skills Requirements: Strong understanding of Bronze/Silver/Gold architecture, medallion patterns, data modeling, data quality, and data governance. Ability to design scalable batch, micro-batch, and near-real-time data processing patterns. Strong SQL and data analysis skills, with the ability to validate data, identify anomalies, and guide root-cause analysis. Experience with source-to-target mapping, data reconciliation (e.g., to source control totals or general ledger balances), schema evolution. Ability to lead design discussions, mentor developers, and influence implementation quality. Strong communication skills with the ability to interact confidently with business stakeholders and technical teams. Bonus if you have: Experience with Unity Catalog, Databricks Workflows, Delta Live Tables / Lakeflow, Auto Loader, Change Data Feed, and materialized views. Experience with cloud platforms such as Azure, AWS, or GCP. Experience with data governance, metadata management, cataloging, lineage, and access control. Experience designing reusable data engineering frameworks and implementation templates. Experience in trading, commodities, pricing, market data, supply chain, finance (e.g., financial close, management reporting), or other complex enterprise data domains is a plus. Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted until 12/31/2026. Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: U.S. Employee Benefits | Accenture Role Location Annual Salary Range California $94,400 to $293,800 Colorado $94,400 to $253,800 Connecticut $94,400 to $253,800 District of Columbia $100,500 to $270,300 Illinois $87,400 to $253,800 Maine $80,400 to $216,200 Maryland $94,400 to $253,800 Massachusetts $94,400 to $270,300 Minnesota $94,400 to $253,800 New York $87,400 to $293,800 New Jersey $100,500 to $293,800 Ohio $87,400 to $235,000 Virginia $87,400 to $270,300 Washington $100,500 to $270,300 About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com What We Believe We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here Requesting An Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the  Accenture Equal Opportunity Statement Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company s legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

Requirements

Must-haves

With over 45,000 professionals dedicated to Data & AI, Accenture’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.
Architecture and Design Leadership
Lead the design of scalable, reliable, and governed data solutions across ingestion, transformation, standardization, and consumption layers.
Define and guide implementation of enterprise data architecture patterns, including Bronze, Silver, and Gold layer design.
Review business requirements and translate them into robust technical and data architecture designs.
Provide architectural guidance on data modeling, data standardization, reusable frameworks, pipeline design, and downstream consumption patterns.
Ensure solutions are designed for scalability, auditability, performance, security, and maintainability.
Data Engineering Best Practices
Establish and enforce production-grade data engineering principles, including idempotency, restartability, observability, auditability, lineage, and automated validation.
Guide the team on proper use of Databricks, Delta Lake, Unity Catalog, orchestration, and lakehouse architecture patterns.
Define standards for pipeline design, naming conventions, audit columns, error handling, data quality checks, and deployment readiness.
Review technical designs and code to ensure adherence to architecture and engineering standards.
Identify and reduce technical debt by promoting reusable, modular, and maintainable implementation patterns.
Data Quality, Governance, and Standardization
Define data quality and validation strategies across Bronze, Silver, and Gold layers.
Design exception handling patterns for records that fail validation, have missing mappings, or cannot be standardized.
Ensure mapping, reference, and master data (e.g., chart of accounts, cost center, product, and customer hierarchies) are managed as governed data rather than hardcoded pipeline logic.
Support effective-dated mapping and reference data patterns, audit history, access control, and controlled promotion processes.
Design reprocessing approaches to handle corrected mappings, reference data changes, source changes, late adjustments (e.g., financial restatements or prior-period corrections), and data quality remediation.
Leadership and Team Enablement
Act as a technical lead and mentor for data engineers, helping them think beyond task execution and apply engineering judgment.
Conduct solution design reviews, code reviews, and implementation checkpoints.
Challenge weak or short-term designs constructively and recommend scalable alternatives.

Nice-to-haves

Experience in trading, commodities, pricing, market data, supply chain, finance (e.g., financial close, management reporting), or other complex enterprise data domains is a plus.

Application prep

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Keywords to mirror

aisqlazureawsgcp

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off