Data Governance & Access Management Engineer

What’s the role and Key responsibilities :

Responsible for developing, operating and maintaining the Access Management systems globally across Data platforms

Responsible to Recommend, implement and maintain appropriate tools / tech related to Identity and access management pertaining to Data platforms

Drive data security strategy across data platforms via Role based access control framework

Drive data access governance towards transparency, auditability, Data quality, Accountability, Stewardship, Standardization of Defintions, Collaboration

Define, drive and implement data access and security franework across Data products

Supports the Identity Governance and Identity Lifecycle management products

Responsible for oversight and delivery of strategic initiatives for Access Management and to protect against and respond to cyber threats from both external and internal threat actors.

Provide strategic guidance, oversight and leadership for the Technology organization and business overall

Responsible for the day-to-day successful operations of end-user related software and hardware

Analyzes systems performance to review operating costs, efficiency levels, upgrade requirements, and other metrics and needs

Establishes policies and procedures to support new technology initiatives across the organization

Identifies and recommends new technology solutions and keeps up to date on current technologies and trends

The Successful Applicant

Technical Knowledge, Key skills and experience required for the successful candidate :

We need you, a dynamic and proven data engineer, with extensive direct experience in leading and running web and data application delivery teams, access management, cybersecurity, business and technology planning, while providing strategic vision to the team / organization.

Hands-on experience within a Data products build and operations in Lockton cloud environment

Experience leading data teams and projects

Bachelor's degree, relevant certifications and continuing education preferred

Advanced knowledge of Databases, Networking, Systems, Windows, Windows Clustering, Active Directory, Group Policy, VMWare ESXi, and Cloud (Azure)

Strong communicator (both written and verbally) who can simplify complex subjects and deliver important messages internally and externally.

Hands-on experience with Azure services

Azure Database development experience with Infra as a Code

Expertise in Data warehousing - data modelling, relational and Dimension modelling, Data quality, data catalog and Data Governance

Experience with data security and data access controls and design across digital transformation / cloud migration programs.

Required Experience :

Minimum of 7+ years of increasingly responsible experience in Data Platforms, Data Engineering, Software Engineering at high impactful and changing environments

Experience with access control lists and Azure role-based access control to provide only the necessary permissions to users to access enterprise data.

4+ years of working experience in Azure or cloud platforms

4+ years of hands-on experience with one or more cloud technologies such as Azure, AWS, Google

Experience auditing an Azure SQL Database to monitor for unauthorized access across Data products

Experience with azure key vault leveraging to store and manage keys and secrets used by multiple sources

Extensive experience with private endpoints,managed virtual networks and managed private endpoints for secured traffic

Extensive experience with managing access control lists on azure data lake storage, access to resources via RBAC

Define Data classification, PII and PHI standards

Drive solutions for unscalable access controls

Experience in automation to reduce manual processes, thus easing resource constraints - when it comes to sensitive data discovery and policy enforcement

Drive and define policies from individual platforms and enable distributed stewardship to avoid data silos and enable scalability

Offer an attribute-based approach to ensure access control implementation is able to easily scale and evolve with the business

Provide plain language policy authoring to help with collaboration and ownership

Experience in managing / collaborating with a high-profile team of Data Engineers, DevOps, data scientists, Business Analytics and Data Analysts

Knowledge of Software development agile methodologies and worked in Scrum teams

Excellent communication & presentation skills with a track record of engaging with senior business leaders

Experience in Finance / Insurance would be a distinct advantage

Should have worked in a dynamic and fast-changing environment

High affinity with AI-powered insight tools and engines and application of real-time solutions to analytics problems

Exposure to COGS / KTLO, Operations and Command Center activity

Soft Skills Required

Good communication and presentation skills

Highly driven, energetic, flexible, resourceful & ability to multitask

Clarity of thoughts and vision

Ability to ideate and bring solutions to the table

Adherence to timelines, without sacrificing the quality of output

Hands-on and detail-oriented, with a strong ability to coordinate across different Geographies and with different stakeholders at Exec and Director levels

Academics

Graduate degree in Engineering, Computer Science, Management Information Systems, or related

Strong exposure to Databases and data structures of cloud-based technologies

Azure / GCP / AWS Solution Architect certification or Data Engineer certification is plus

Career progression :

Receive ongoing support and funding towards your personal learning and development, including coverage for relevant courses and certifications in data related fields.

Lockton prides itself on offering outstanding career progression programs for those who wish to progress in their field of interest, be it in a Technical or Leadership capacity