Job description

Data Engineering Architecture Manager Deloitte Consulting's technology professionals help clients identify and solve their most critical information and technological challenges. We provide advisory through end-to-end implementation services as well as outsourcing services and are recognized in the marketplace for capabilities across the spectrum. Recruiting for this role ends on 11/1/2026 Our experienced technology professionals offer deep technical experience in their area of focus and are committed to delivering efficient, technology-based solutions to our clients. Our professionals are also aligned to industry sectors. By combining our technical capabilities with our industry experience, we create unmatched market offerings to solve our clients' business issues. Additionally, we have long-term partnerships with many of the world's leading technological companies, allowing us to understand solution alternatives and recommend and support the most appropriate solution for our clients. By leveraging these elements, we can help our clients convert leading edge ideas into tangible results. Work you’ll do A Data Engineering Architecture Manager will lead a large-scale modernization of legacy Informatica PowerCenter and on-premises MDM capabilities to Snowflake and Informatica IDMC, including cloud MDM, Customer 360, data integration, API migration, testing, cutover, and downstream readiness. The successful candidate would possess these skills: • Ability to work independently and collaborate as part of a team • Effective written and verbal communication skills • Meticulous attention to detail and quality of work product • Ability to build and sustain professional relationships • Ability to lead projects or workstreams • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment • Strong interpersonal skills and professional demeanor • Ability to meet deadlines • Ability to provide clear guidance to others The Team AI & Data offers a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offering helps clients innovate, and enhance their data, AI, and analytics capabilities, ensuring they can mature and scale effectively. Required Qualifications • 10+ years of experience leading cross-functional team across Snowflake and MDM workstreams, including resource planning, onboarding, lead development, delivery governance, and coordination across delivery locations. • Drive Agile and PMO governance through sprint planning, stand-ups, backlog management, executive status reporting, RAID management, change control, and steering committee updates. • Assess the current-state MDM platform, including entity models, match and merge rules, survivorship, trust logic, custom Java APIs, and upstream/downstream integrations. • Architect a Snowflake medallion data pipeline with bronze, silver, and gold layers, incremental processing, data quality controls, auditability, and observability. • Designed IDMC MDM entities for Person, Organization, Account, Service, and Household, including relationship models, stewardship workflows, security, and Customer 360 capabilities. • Oversee Agentic AI-enabled reverse engineering of PowerCenter mappings and workflows into PySpark, Python, and SnowSQL, with quality gates and conversion tracking. • Define the API migration strategy, rebuilt five custom processes using Informatica CAI and Snowflake/Python, and coordinated downstream consumer transition. • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience • Limited immigration sponsorship may be available. • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve Preferred • Strong analytical, problem-solving, communication, stakeholder-management, offshore coordination, documentation, and knowledge-transfer skills • Analytical ability to manage multiple projects and prioritize tasks into manageable work product • Can operate independently or with minimum supervision • Excellent Written and Communication Skills • Ability to deliver technical demonstrations The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $140,000 to $160,000. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Requirements

Must-haves

Data Engineering Architecture Manager
Recruiting for this role ends on 11/1/2026
Work you’ll do
Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others
10+ years of experience leading cross-functional team across Snowflake and MDM workstreams, including resource planning, onboarding, lead development, delivery governance, and coordination across delivery locations.
Drive Agile and PMO governance through sprint planning, stand-ups, backlog management, executive status reporting, RAID management, change control, and steering committee updates.
Assess the current-state MDM platform, including entity models, match and merge rules, survivorship, trust logic, custom Java APIs, and upstream/downstream integrations.
Architect a Snowflake medallion data pipeline with bronze, silver, and gold layers, incremental processing, data quality controls, auditability, and observability.
Designed IDMC MDM entities for Person, Organization, Account, Service, and Household, including relationship models, stewardship workflows, security, and Customer 360 capabilities.
Oversee Agentic AI-enabled reverse engineering of PowerCenter mappings and workflows into PySpark, Python, and SnowSQL, with quality gates and conversion tracking.
Define the API migration strategy, rebuilt five custom processes using Informatica CAI and Snowflake/Python, and coordinated downstream consumer transition.
Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience

Nice-to-haves

Strong analytical, problem-solving, communication, stakeholder-management, offshore coordination, documentation, and knowledge-transfer skills
Analytical ability to manage multiple projects and prioritize tasks into manageable work product
Excellent Written and Communication Skills
Ability to deliver technical demonstrations

Application prep

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Keywords to mirror

apiaiagilejavapython

Platform: avature
Effort: medium

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