Data Architect

Aspire For Her is excited to present the following opportunity with one of our esteemed partners. Please find the details below:

Job Descriptio

nRole & Responsibilities

:We are seeking a highly skilled and experienced Architect to lead the design, implementation, and optimization Intelligent data Platform. The ideal candidate will have a strong background in cloud-based data processing systems, data warehousing, and big data technologies. They will work closely with our data engineering team to ensure that the data platform is optimized for performance, scalability, and reliability

• .Collaborate with stakeholders to understand business objectives and translate them into data architecture requirements
• .Design and implement data models, develop Data attribute maps, database schemas, and data integration strategies that comply with regulatory requirements and industry best practices
• .Develop and maintain data governance policies and procedures to ensure the confidentiality, integrity, and availability of sensitive data
• .Implement data security measures and access controls to protect against unauthorized access and mitigate potential risks
• .Architect and optimize data storage and retrieval processes to meet the performance and scalability demands of banking applications
• .Leverage AWS services such as Amazon Redshift, Amazon RDS, Amazon Aurora, and AWS Glue to build scalable and cost-effective data solutions
• .Architect and design solutions to meet functional and non-functional requirements
• .Lead the design, implementation, and optimization of Intelligent Data platform
• .Develop and maintain a comprehensive understanding of data pipeline and data architecture
• .Develop and maintain documentation for our Intelligent data platform including architecture diagrams, deployment guides, and operational procedures
• .Provide guidance and support to our data engineering team
• .Create and review architecture and solution design artifacts
• .Evangelize re-use through the implementation of shared assets
• .Enforce adherence to architectural standards/principles, global product-specific guidelines, usability design standards, etc
• .Proactively guide engineering methodologies, standards, and leading practices
• .Identify, communicate, and mitigate Risks, Assumptions, Issues, and Decisions throughout the full lifecycle
• .Considers the art of the possible, compares various architectural options based on feasibility and impact, and proposes actionable plans
• .Demonstrate strong analytical and technical problem-solving skills
• .Ability to analyze and operate at various levels of abstraction
• .Ability to balance what is strategically right with what is practically realistic
• .Growing the Data Engineering business by helping customers identify opportunities to deliver improved business outcomes, designing and driving the implementation of those solutions
• .Leading team in the definition of best practices & repeatable methodologies in Cloud Data Engineering, including Data Storage, ETL, Data Integration & Migration, Data Warehousing and Data Governanc
• eShould have Technical Experience in AWS Cloud Data Engineering services and solutions
• .Contributing to Sales & Pre-sales activities including proposals, pursuits, demonstrations, and proof of concept initiative
• sEvangelizing the Data Engineering service offerings to both internal and external stakeholder
• sDevelopment of Whitepapers, blogs, webinars and other though leadership materia
• lDevelopment of Go-to-Market and Service Offering definitions for Data Engineerin
• gExpand the business within existing accounts and help clients, by building and sustaining strategic executive relationships, doubling up as their trusted business technology advisor
• .Position differentiated and custom solutions to clients, based on the market trends, specific needs of the clients and the supporting business cases
• .Build new Data capabilities, solutions, assets, accelerators, and team competencies

.
Mandatory Skills Descriptio

• n:- Provide technical leadership and mentorship to junior member
• s.- Proven experience as a Data Architect with a deep understanding of Enterprise systems and processe
• s.- Strong proficiency in SQL and database technologies, with experience in designing and optimizing data models for core application
• s.- Hands-on experience with AWS cloud services, particularly those relevant to data architecture such as Amazon Redshift, Amazon RDS, AWS Glue, and AWS Lambd
• a.- Technology Agnostic approach for multitude of data source systems and API gatewa

ys
Nice-to-Have Skil

• ls:Familiarity with compliance requirements such as GDPR, PII protection frameworks, PCI D
• SS.Excellent communication and interpersonal skills, with the ability to effectively collaborate with diverse teams and stakeholde
• rs.AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Data Analytics Specialty) are highly desirab

le.

Minimum Qualifica

tionsExcellent technical architecture skills, enabling the creation of future-proof, complex global Platform solut

• ions.Excellent interpersonal communication and organizational skills are required to operate as a leading member of global, distributed teams that deliver quality services and solut
• ions.Ability to rapidly gain knowledge of the organizational structure of the firm to facilitate work with groups outside of the immediate technical
• team.Knowledge and experience in IT methodologies and life cycles that will be
• used.Familiar with solution implementation/management, service/operations management,
• etc.Maintains close awareness of new and emerging technologies and their potential application for service offerings and prod
• ucts.Bachelor's Degree or equivalency (CS, CE, CIS, IS, MIS, or engineering discipline) or equivalent work experi
• ence.Experience in architecting and designing technical solutions for cloud-centric solutions based on industry standards using IaaS, PaaS, and SaaS capabili
• ties.Must have strong hands-on experience on various cloud services like Lambda, S3, Security, Monitoring, Governance & Compli
• ance.Must have good knowledge of Data Engineering concept and related services of c
• loud.Must have good experience in Python and S
• park.Must have good experience in setting up development best pract
• ices.Experience with claims-based authentication (SAML/OAuth/OIDC), MFA,RBAC, SSO
• etc.Knowledge of cloud security controls including tenant isolation, encryption at rest, encryption in transit, key management, vulnerability assessments, application firewalls, SIEM,
• etc.Experience building and supporting mission-critical technology components with DR capabili
• ties.Experience with multi-tier system and service design and development for large enterp
• risesExtensive, real-world experience designing technology components for enterprise solutions and defining solution architectures and reference architectures with a focus on cloud technolo
• gies.Exposure to infrastructure and application security technologies and appro
• achesFamiliarity with requirements gathering techni

ques.
Preferred Qualific

ationsMust have experience in DevSecOps working closely on Data Engineering based p

• rojectStrong expertise in Data platform com
• ponentDelt
• a lakedb A
• PI 2.0SQL Endpoint Photon
• engineDelta S
• haringUnity C
• atalogSecurity mana
• gementPlatform governance, Auditing & Comp
• lianceData Se
• curityProficiency in AWS services including but not limited to S3, EC2, IAM, VPC, EKS, Lambda, Glue, Private Link, KMS, CloudWatch, EM
• R etc.Must know how to enable geo redundancy and DR capabilities on datab
• ricks.Proficient in designing and implem
• entingEverything as
• a codeInfrastructure as
• a codeConfiguration as
• a codeConfiguration as
• a codeSecurity configuration as
• a codeMust have strong expertise in designing platform with strong observability and Monitoring stan
• dards.Proficient in developing and setting best practices of various DevSecOps activities including
• CI/CD.Good to have Rest API know
• ledge.Good to have understanding around cost distrib
• ution.Good to have if worked on migration project to build Unified data pla
• tform.Good to have knowledge o
• f DBT.Software development full lifecycle methodologies, patterns, frameworks, libraries, and
• toolsKnowledge of programming and scripting languages such as JavaScript, Bash, SQL, Python
• , etc.Experience in distilling complex technical challenges to actionable decisions for stakeholders and guiding project teams by building consensus and mediating compromises when nece
• ssary.Experience coordinating the intersection of complex system dependencies and intera
• ctionsExperience in solution delivery using common methodologies especially SAFe Agile but also Waterfall, Iterative