Offer summary

Qualifications:

In-depth knowledge of Data Architecture and related disciplines., Experience with data technologies like Snowflake, AWS, and Power BI., Strong understanding of insurance domains and compliance regulations., Ability to develop Data Architecture guidelines and influence stakeholders..

Key responsabilities:

Design and develop Data/Domain IT architecture solutions.

Lead projects and mentor developers in architecture best practices.

Execute continuous domain level architecture improvement roadmaps.

Collaborate with System Architects to define capabilities and features.

Job description

Team Function:

Designs and develops Data/Domain IT architecture (integrated process, applications, data and technology) solutions to business problems in alignment with the Enterprise Architecture direction and standards. Requires in-depth logical and practical knowledge in Data Architecture and basic knowledge of related job disciplines. Has knowledge of best practices and how own area integrates with others; is aware of the competition and the factors that differentiate them in the market.

Role Description:

Utilizes in-depth conceptual and practical knowledge in Domain Architecture and basic knowledge of related job disciplines to perform complex technical planning, architecture development and modification of specifications for Domain solution delivery.
Solves complex problems and partners effectively to execute broad, continuous Domain level architecture improvement roadmaps that impacts the organization.
Works independently, receives minimal guidance and direction to solve for and influence Enterprise and System architecture through Domain level knowledge. Reviews high level design to ensure alignment to Solution Architecture.
May lead projects or project steps within a broader project or may have accountability for on-going activities or objectives. Mentor developers and create reference implementations/frameworks. Partners with System Architects to elaborate capabilities and features.
Delivers single domain architecture solutions and executes continuous domain level architecture improvement roadmap. Actively supports design and steering of a continuous delivery pipeline. Plans Architecture runway for a full solution and fosters built-in quality for entire solution. Establishes and supports definition of Non-Functional requirements.

Requirements

Data & Analytics Technologies experience

•Hands-on experience in building data assets on Snowflake, RedShift, Databricks, etc.

•Experience in Cloud Infrastructure (data and analytics focused) such as AWS (Athena, EMR, Glue, S3), Azure (Azure Data Fabric, Power BI) and GCP (BigQuery).

•Experience in Integration technologies such as Informatica, Matillion, FiveTran, AWS Glue, etc.

•Experience in Reporting technologies such as PowerBI, Tableau, etc.

•Knowledge in Data Governance tools

•Knowledge in Master Data Management solutions

Architecture Experience

•Ability to articulate various Data Architecture styles such as Data Mesh, Data Fabric, Medallion Architecture, etc.

•Experience in creating strategy, Vision, Roadmap, Reference Arch and patterns for a business/technical capability

•Experience in performing technology evaluations and recommend tools

•Experience in evaluating vendor’s product and ensure it aligns to company’s requirements (not influenced by vendors)

•Experience in developing Data Architecture guidelines

•Gain alignment on solutions and ability to influence others with data points

Insurance Domain Experience

•Strong understanding of Insurance domains such as UW (Policy), Claims processing, Services Operations, etc.

•Knowledge on legal and compliance regulations specific to Insurance

•Experience in building end to end data pipelines for insurance domains such as Product, Claims, Billing, Finance, Distribution

Other Critical Skills

Data architecture - Advanced
Data Lakehouse - Intermediate
Data Warehouse - Advanced
Data Governance - Intermediate
Cloud data platforms - Advanced
Data Integration Tools - Advanced
Data Modeling - Intermediate
Data Strategy and Roadmap - Intermediate
AI & ML - Intermediate
Master Data Management - Intermediate
Operational Data Management - Intermediate

Software / Tool Skills

Snowflake - Intermediate (4-6 Years)
Databricks - Entry Level (1-3 Years)
AWS Cloud - Intermediate (4-6 Years)
Power BI - Intermediate (4-6 Years)
ETL Tools - Advanced (7+ Years)
Sagemaker - Intermediate (4-6 Years)

Benefits

This position comes with competitive compensation and benefits package:

Competitive salary and performance-based bonuses
Comprehensive benefits package
Home Office model
Career development and training opportunities
Flexible work arrangements (remote and/or office-based)
Dynamic and inclusive work culture within a globally known group
Private Health Insurance
Pension Plan
Paid Time Off
Training & Development
*Note: Benefits differ based on employee level

About Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2023.

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