Company:
Expert In Recruitment Solutions
Location: Boston
Closing Date: 20/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Top required skills based on interviews and feedback
Data Architecture experience with AWS Database / Data Warehouse / Data Platforms (Kinesis, Glue, Redshift, S3,) - They have no interest in folks with just Azure or GCP
Hands-on experience with building AWS POCs for data solutions which include
Moving legacy on-prem data platforms to the cloud
ETL / Data Modeling / Data Parsing
Data streaming / Realtime data transfer
Business side interaction.
-Comfortable talking with Business stakeholders and working with them on POCs to gather data requirement and define future state
Also,
Experience with Aurora DB loads in real-time/streaming (Kafka, Kinesis).
Experience with data parsing in Json or xml.
Experience with Kafka and Kinesis
Client is requiring this role to be onsite at min of 1x per week. The client is now pushing for in office return.
Top Required for this role:
Deep experience working as a Data Solution Architect with 5+ years AWS Cloud
10+ years of creating data engineering solutions, ETL/ELT pipelines on multi-terabyte SQL/NoSQL databases, data warehouse environment
Data Solution Architect must excel in client/ stakeholder interactions, bridging the gap between technical complexities and business requirements.
Clear and concise communication of technical decisions to non-technical stakeholders will be crucial for success and successful adoption
Responsibilities
Creates and maintains overall data & analytics solutions for applications/products across multiple projects of medium complexity.
Performs POC to establish standard data & analytics solution patterns that can be leveraged for multiple products and applications.
Ensures that the design is consistent with the overall enterprise architecture.
Responsible for securing approvals from review boards for the data & analytics solutions
Partners with peer solution architects, engineering, product, operations teams to build feasible & scalable solutions.
Researches and documents architecturally significant aspects/views of the systems
Ensures consistent use of technologies and platforms within data & analytics ecosystems.
Leads or participates in project planning of architecture and design activities and provides estimates.
Contributes to creation of our IT Roadmap
Responsible for application planning and platform management
Establishes enterprise level Data Security, Master Data Management and Reference Data Management guidelines.
Translates detailed business requirements into optimal technology solutions using AWS services, Lambda, EC2,Glue and other leading open source tools and technologies.
Manages technical delivery for projects, designs processes, manage and drive execution with help of consultants and associates.
Diagnose and address complex problems, including performance issues, scale and drive to resolution to meet business initiatives.
Assist data analysts and end users across all functional areas in identifying long-term, strategic data needs for the enterprise, defining how the data is related to the business processes and developing a conceptual and functional model of the data.
Assist and advocate for bringing new technologies for data management, governance, and usage.
Work hands on with emerging technologies during software evaluations, PoCs and pilots.
Ensure that data is secure and protected from unauthorize access or modification.
Required Technical Skills
Minimum 8 years of experience in data, analytics, AI/Client, insights, business intelligence, data warehouse products, platforms and applications.
Minimum 5 years of experience in working as Solution/Data Architect on cloud platforms (AWS is highly desirable).
Minimum 4 years of experience with ETL/ELT design and development using tools like Talend, Informatica, AWS Glue, Oracle Data Integrator (ODI) or equivalent.
Minimum 5 years of experience in database architecture using relational SQL (e.g. Oracle, PostgreSQL, MySQL), and NoSQL (DynamoDB, MongoDB, Elasticsearch).
Minimum 4 years of experience with programming languages Node.js, Python, Java or Scala.
Minimum 3 years of experience with building applicating with serverless architecture on AWS platforms using Athena, Glue, EC2, Lamda, Kenesis etc..
Minimum 2 years of experience with large-scale data processing platforms such as Spark, EMR, and/or HPC computing experience with e.g. Apache Aurora, Slurm.
Minimum 4 years of solutioning experience in AWS Cloud environment leveraging multiple services for storage, processing, analyzing large volume of data.
Strong database architecture, critical thinking, and problem-solving abilities, along with an ability to handle ambiguous and evolving requirements.
Minimum 2 years of experience with building solutions using tools like Vizio, Draw.io and Miro.
Experience working with RESTful API and general service-oriented architectures.
Experience with DevOps, Continuous Integration and Continuous Delivery technologies is desirable.
AWS Solution Architect certification (associate & above) is highly desirable.
Healthcare domain knowledge is a huge plus.
Excellent verbal and written communication skills.
Data Architecture experience with AWS Database / Data Warehouse / Data Platforms (Kinesis, Glue, Redshift, S3,) - They have no interest in folks with just Azure or GCP
Hands-on experience with building AWS POCs for data solutions which include
Moving legacy on-prem data platforms to the cloud
ETL / Data Modeling / Data Parsing
Data streaming / Realtime data transfer
Business side interaction.
-Comfortable talking with Business stakeholders and working with them on POCs to gather data requirement and define future state
Also,
Experience with Aurora DB loads in real-time/streaming (Kafka, Kinesis).
Experience with data parsing in Json or xml.
Experience with Kafka and Kinesis
Client is requiring this role to be onsite at min of 1x per week. The client is now pushing for in office return.
Top Required for this role:
Deep experience working as a Data Solution Architect with 5+ years AWS Cloud
10+ years of creating data engineering solutions, ETL/ELT pipelines on multi-terabyte SQL/NoSQL databases, data warehouse environment
Data Solution Architect must excel in client/ stakeholder interactions, bridging the gap between technical complexities and business requirements.
Clear and concise communication of technical decisions to non-technical stakeholders will be crucial for success and successful adoption
Responsibilities
Creates and maintains overall data & analytics solutions for applications/products across multiple projects of medium complexity.
Performs POC to establish standard data & analytics solution patterns that can be leveraged for multiple products and applications.
Ensures that the design is consistent with the overall enterprise architecture.
Responsible for securing approvals from review boards for the data & analytics solutions
Partners with peer solution architects, engineering, product, operations teams to build feasible & scalable solutions.
Researches and documents architecturally significant aspects/views of the systems
Ensures consistent use of technologies and platforms within data & analytics ecosystems.
Leads or participates in project planning of architecture and design activities and provides estimates.
Contributes to creation of our IT Roadmap
Responsible for application planning and platform management
Establishes enterprise level Data Security, Master Data Management and Reference Data Management guidelines.
Translates detailed business requirements into optimal technology solutions using AWS services, Lambda, EC2,Glue and other leading open source tools and technologies.
Manages technical delivery for projects, designs processes, manage and drive execution with help of consultants and associates.
Diagnose and address complex problems, including performance issues, scale and drive to resolution to meet business initiatives.
Assist data analysts and end users across all functional areas in identifying long-term, strategic data needs for the enterprise, defining how the data is related to the business processes and developing a conceptual and functional model of the data.
Assist and advocate for bringing new technologies for data management, governance, and usage.
Work hands on with emerging technologies during software evaluations, PoCs and pilots.
Ensure that data is secure and protected from unauthorize access or modification.
Required Technical Skills
Minimum 8 years of experience in data, analytics, AI/Client, insights, business intelligence, data warehouse products, platforms and applications.
Minimum 5 years of experience in working as Solution/Data Architect on cloud platforms (AWS is highly desirable).
Minimum 4 years of experience with ETL/ELT design and development using tools like Talend, Informatica, AWS Glue, Oracle Data Integrator (ODI) or equivalent.
Minimum 5 years of experience in database architecture using relational SQL (e.g. Oracle, PostgreSQL, MySQL), and NoSQL (DynamoDB, MongoDB, Elasticsearch).
Minimum 4 years of experience with programming languages Node.js, Python, Java or Scala.
Minimum 3 years of experience with building applicating with serverless architecture on AWS platforms using Athena, Glue, EC2, Lamda, Kenesis etc..
Minimum 2 years of experience with large-scale data processing platforms such as Spark, EMR, and/or HPC computing experience with e.g. Apache Aurora, Slurm.
Minimum 4 years of solutioning experience in AWS Cloud environment leveraging multiple services for storage, processing, analyzing large volume of data.
Strong database architecture, critical thinking, and problem-solving abilities, along with an ability to handle ambiguous and evolving requirements.
Minimum 2 years of experience with building solutions using tools like Vizio, Draw.io and Miro.
Experience working with RESTful API and general service-oriented architectures.
Experience with DevOps, Continuous Integration and Continuous Delivery technologies is desirable.
AWS Solution Architect certification (associate & above) is highly desirable.
Healthcare domain knowledge is a huge plus.
Excellent verbal and written communication skills.
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