Data Architect Lead Advisor
$147.62k - $273.38kNTT DATA, Inc.
Req ID: 390344
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Data Architect Lead Advisor to join our team in Atlanta, Georgia (US-GA), United States (US).
Solutions Architect – Snowflake Data Platform (Azure)
Day to Day Job Duties:
(What this person will do on a daily/weekly basis)
- Lead the architecture, design, and implementation of enterprise-scale data platforms leveraging Snowflake, Azure Data Factory, Databricks, and complementary Azure services.
- Collaborate with client stakeholders, business leaders, and technical teams to define data platform strategies, modernization roadmaps, and target-state architectures.
- Partner with Sales, Account Teams, and Client Executives to support pre-sales activities including solution development, proposals, effort estimations, RFP responses, and client presentations.
- Provide technical leadership for large-scale cloud migration and data modernization initiatives involving legacy data warehouses, ETL platforms, analytics environments, and reporting ecosystems.
- Define enterprise data architecture standards, governance frameworks, security models, data integration patterns, and operational best practices.
- Work closely with Data Engineering, Analytics, AI/ML, and Infrastructure teams to deliver scalable, secure, and high-performing data solutions.
- Lead architecture reviews, design workshops, and executive presentations while serving as a trusted advisor to client leadership teams.
- Evaluate emerging cloud, analytics, and AI technologies and develop reference architectures and reusable accelerators for future client engagements.
- Engage with Microsoft, Snowflake, and strategic technology partners to develop joint solutions and support go-to-market activities.
- Provide technical oversight, mentoring, and guidance to architects, engineers, and project teams throughout solution delivery lifecycles.
Basic Qualifications:
(What are the skills required for this job with minimum years of experience on each)
- 15+ years of experience delivering enterprise data, analytics, and cloud transformation solutions within a consulting firm, systems integrator, or large enterprise environment.
- 5+ years of experience architecting and implementing large-scale data warehouse, data lake, and modern data platform solutions.
- 3+ years of hands-on experience with Snowflake architecture, administration, performance optimization, security, and enterprise deployment patterns.
- 5+ years of experience designing and delivering Azure-based data solutions utilizing services such as Azure Data Factory, Azure Storage, Azure SQL, Azure Synapse, Azure Key Vault, and Microsoft Entra ID.
- 2+ years of experience with Databricks, Apache Spark, Delta Lake, and modern data engineering frameworks.
- 5+ years of experience leading cloud migration and modernization initiatives from legacy on-premises or cloud-based data platforms.
- 5+ years of experience supporting professional services sales cycles including solution development, statement of work creation, proposal development, RFP responses, and account expansion initiatives.
Travel:
This position is primarily remote but occasional travel to client sites in the U.S. may be required.
Degree:
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience.
Nice to Have:
- Strong experience with enterprise data modeling, data governance, data quality, master data management, and metadata management practices.
- Experience designing data architectures supporting advanced analytics, self-service BI, AI/ML, and generative AI workloads.
- Strong communication and stakeholder management skills with the ability to engage effectively with executive leadership, business users, and technical teams.
- Experience serving as Lead Architect or Technical Delivery Lead for large enterprise transformation programs.
- Snowflake certifications such as SnowPro Advanced Architect or SnowPro Core.
- Microsoft Azure certifications such as Azure Solutions Architect Expert or Azure Data Engineer Associate.
- Experience with enterprise data governance platforms such as Informatica.
- Experience designing and implementing Data Mesh, Data Fabric, or Cloud-Native Lakehouse architectures.
- Knowledge of AI/ML and Generative AI architectures leveraging Azure OpenAI, Microsoft Fabric, Databricks AI, or Snowflake Cortex.
- Experience managing global delivery teams and mentoring architects and senior engineers.
Experience within retail industries
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $147,622 to $273,375. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.
This position may also be eligible for incentive compensation based on individual and/or company performance.
This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits .
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About NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form,
NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .
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