Data Architect

2 Weeks ago • 3-5 Years

About the job

Summary_{By Outscal}

Data Architect with 3+ years of experience in designing MDM solutions using Relatio, Stibo, and CDI platforms. Experience in Big Data solutions, public cloud (GCP, AWS, Azure), data models, and cloud-based infrastructure disciplines (Kubernetes, containerization) is required. Deep knowledge of data technologies like Snowflake, Kafka, DBT, Airflow, and Kubernetes is essential.

Position Overview:

The Enterprise Architect works with other IT groups in defining architectures, leading projects that cross functional agency systems and other state entities that require coordinating, planning, and scheduling during project transition, development and implementation stages. Works under minimal supervision, with extensive latitude for the use of initiative and independent judgment.

ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.

Job Responsibilities :

Work involves planning and analyzing user requirements, procedures, and problems to automate processing or to improve existing systems.
Prepare As-Is, To Be, Gap analysis, SWOTs, charts, diagrams, and tables that depict the present and proposed systems in terms of costs, benefits derived, and tasks accomplished.
Plans and schedules studies and system implementations.
Drives and leads initiatives that cross functional agency systems, other IT groups and other state entities that require coordinating, planning, and scheduling during project development and implementation stages.
Provides the options in the determination and implementation of architectural solutions.
Provides the design and implementation of new or revised methods that effectively meet agency business needs.
Evaluates current and future solutions, applications, technologies and establish overall requirements and planning objectives.
Provides expertise in the development of and/or develops agency Information Technology (IT) operations and management information system plans.
Oversees the development, analysis, and revision of design procedures, program codes, test procedures, and quality standards.
Plays a critical role in translating business strategy into technical strategy and defines end-to-end technology architectures that support the strategy.
Provides Architectural expertise on strategic planning actions and policy decisions related to the agency’s systems and makes recommendations concerning the direction of the agency’s computer and management information systems.
Analyzes and defines agency disaster recovery responsibilities and procedures.
Articulates desired future state, understand the current state, identify gaps between the two states, and develop approaches to close these gaps.
Assists in the preparation of information technology planning and justification.
Has good experience in developing real time data visualization platform and tools.
Own and aggressively drive forward MDM, Data Governance, Big Data, and Cloud Data Management
Develops data integration processes using the ETL platform (egBiqquery, Informatica, snowflake)
Solid experience in emerging and traditional data stack components such as: batch and real time data ingestion, ETL, ELT, orchestration tools, on-prem and cloud DW, Python, structured, semi and unstructured databases.
Creating business solutions which utilize the CDI platform and ensure high quality and scalable solutions
Work with EA (Enterprise Architecture) team on standards, product roadmap, and architecture decisions based on the enterprise blueprint
Assist operational teams in troubleshooting activities within a mission critical run-time environment
Monitor CDI services and run-time components, maintaining consistent high performance , High through put and High availability
Collaborate with global team members in EIM and IT to deliver MDM / Governance team deliverables and capabilities to drive continuous improvement
Drive excellence and ensure continuous improvement in quality of deliverables
Definition and management of project deliverables whose intent is to optimize usage of data within the organization
Collaborate closely with Data Engineering and Product team to execute on the set roadmap of data ingestion, integration and data transformation.

Basic Qualification :

At least 5 Years’ experience in Architecting and Designing MDM solutions using Relatio,Stibo etc.,
At least 3 years experience in Architecting and Designing CDI platofrms.
3+ years developing Big Data Solutions (architectures, deployments, and operations - including design and estimation)
2+ years of public cloud (GCP, AWS, Azure) design and implementation experience
Expertise in data models, data pipeline concepts, and cloud-based infrastructure disciplines such as Kubernetes, containerization, etc.
Deep working knowledge of data technologies such as Snowflake, Kafka, DBT, Airflow, Kubernetes etc.
In-depth experience in solutions around data ingestion/pipelines, data migration, data testing & validation, data cleansing, data modeling.

We are proud to offer a competitive salary alongside a strong healthcare insurance and benefits package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.