Job summary
Job post source
This job is directly from Genpact
Job overview
The Data Architect role at Genpact involves leading the design and implementation of scalable data architectures to support advanced analytics, AI/ML, and GenAI solutions, impacting enterprise data strategy and innovation.
Responsibilities and impact
The role requires designing scalable data architectures, developing data models, leading data lake and platform evolution, ensuring governance and security, mentoring teams, collaborating across departments, and driving strategic data initiatives.
Compensation and benefits
The position offers an approximate annual base salary range of $125,000 to $135,000, with total compensation and benefits determined by experience, skills, location, and internal equity.
Experience and skills
Candidates need 10+ years in data architecture or related fields with leadership experience, expertise in data lakes, cloud platforms (AWS, Azure, GCP), data modeling, AI/ML support, and strong communication; healthcare industry experience and certifications are preferred.
Career development
Genpact promotes career acceleration through hands-on experience, mentorship, and continuous learning opportunities in a cutting-edge tech environment.
Work environment and culture
Genpact fosters a values-driven culture emphasizing courage, curiosity, integrity, inclusion, and innovation, supporting a dynamic and respectful work environment.
Company information
Genpact is a global advanced technology services company focused on AI and digital innovation, helping enterprises transform with deep business knowledge and operational excellence.
Team overview
The candidate will join the data and analytics organization, collaborating with data engineering, data science, product management, and business stakeholders.
Job location and travel
The role is based in Fort Worth, TX, with candidates from Los Angeles, CA not eligible; the environment supports tech-driven, fast-moving work.
Unique job features
The job features leadership in enterprise data architecture supporting AI/ML and GenAI, involvement with modern data platforms and cloud technologies, and a role in strategic planning and innovation at scale.
Company overview
Genpact is a global professional services firm that focuses on delivering digital transformation through its expertise in business process management and technology services. The company generates revenue by providing services such as finance and accounting, procurement, supply chain management, and IT services to clients across various industries, including banking, insurance, healthcare, and manufacturing. Founded in 1997 as a business unit within General Electric, Genpact became an independent company in 2005 and has since grown through strategic acquisitions and a strong emphasis on innovation and client-centric solutions.
How to land this job
Position your resume to highlight extensive experience in designing and implementing scalable data architectures, especially for AI/ML and GenAI-driven solutions, showcasing technical expertise with data lakes and modern platforms like AWS, Azure, or GCP.
Emphasize leadership skills in enterprise data architecture, collaboration with cross-functional teams, and your ability to guide data governance, security, and best practices aligned with business goals.
Apply through multiple channels including Genpact’s official corporate careers page, LinkedIn job postings, and other reputable job boards to maximize your chances of visibility.
Connect on LinkedIn with current Genpact employees in data architecture or analytics roles; use ice breakers like referencing Genpact’s AI Gigafactory initiative or asking about their experience working on GenAI projects within the company.
Optimize your resume for ATS by incorporating keywords such as 'data architecture,' 'data lakes,' 'cloud-native platforms,' 'data governance,' 'AI/ML,' 'Generative AI,' and specific tools like 'Snowflake,' 'Databricks,' and 'AWS Glue' to pass initial automated screenings.
Leverage Jennie Johnson’s Power Apply feature to automate tailored applications, identify multiple application portals, and find relevant LinkedIn contacts, allowing you to focus your time on networking and interview preparation.
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