You are successfully logged out of your my randstad account

You have successfully deleted your account

Data Solutions Architect, remote

job details

summary

    job details
    We are a global engineering and consulting group. We are experts in the container ecosystem, data processing and analytics, and cloud-native technologies. Our team is formed by network, data, security, DevOps specialists and application developers. Our client empowers customers with technology to solve their business problems and provide the tools to assure success in their digital transformation.

    Advantages
    value to our customers centers around our ability to provide deep technical guidance based on their business needs. We achieve this by assigning small, virtual teams of highly skilled individuals to each client. Within these teams, the Data Solutions Architect is responsible for providing technical expertise and leadership to Data and Cloud Engineers, while also maintaining a systems view that is able to reconcile technical decisions with broader project goals. Data Solutions Architects work alongside our Principal Consultants to ensure our project deliverables meet stakeholders' needs while upholding our client's standards for quality and operational maturity.

    Responsibilities
    Provide deep technical expertise and leadership across a range of cloud data technologies. You will be the go-to person for driving tool selection, resolving complex engineering issues, and guiding best practices during engagements.
    Lead the design and implementation of data platforms to meet customers' business requirements.
    Lead whiteboard design sessions with internal and external team members.
    Identify and communicate technical risks as they emerge over the course of a project.
    Work closely with Principal Consultants to extract project requirements during technical discovery sessions, define deliverables to meet those requirements, and break down those deliverables into a technical roadmap.
    Lead teams of data and cloud engineers to execute project roadmaps. Provide guidance on technical tasks, priorities and technical assistance when needed.
    Manage scope within customer engagements. Identify changing requirements as they arise, determine their impact on scope, and ensure all stakeholders are aware and agree with the changes.
    Maintain a close working relationship with the customer, as a "Trusted Advisor". Set clear expectations, challenge assumptions, solicit feedback, and take ownership of project deliverables.
    Building complex ETL code using technologies such as; Spark, Nifi, Glue
    Building real-time streaming solutions leveraging technologies such as: Kafka, Kinesis, Pub Sub and Spark Streaming
    Developing code using Python, Java and Scala languages
    Creating complex data solutions and build data pipelines
    Establishing credibility and build impactful relationships with our customers
    Maintain relevant certifications on cloud technologies and stay informed of key industry trends.

    Qualifications
    3+ years of experience in public cloud environments (AWS, GCP or Azure).
    3 + years of developing code using Python, Java or Scala languages
    Experience with building complex ETL code using technologies such as: Spark, Nifi, Glue
    Experience with building real-time streaming solutions leveraging technologies such as: Kafka, Kinesis, Pub Sub or Spark Streaming
    Strong SQL skills
    Creating complex data solutions and build data pipelines
    Establishing credibility and build impactful relationships with our customers
    Strong communication skills, written and verbal

    Summary
    If you feel your have the right profile for this role please email me your word resume to aaron.lail@randstad.ca

    Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

    Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
    We are a global engineering and consulting group. We are experts in the container ecosystem, data processing and analytics, and cloud-native technologies. Our team is formed by network, data, security, DevOps specialists and application developers. Our client empowers customers with technology to solve their business problems and provide the tools to assure success in their digital transformation.

    Advantages
    value to our customers centers around our ability to provide deep technical guidance based on their business needs. We achieve this by assigning small, virtual teams of highly skilled individuals to each client. Within these teams, the Data Solutions Architect is responsible for providing technical expertise and leadership to Data and Cloud Engineers, while also maintaining a systems view that is able to reconcile technical decisions with broader project goals. Data Solutions Architects work alongside our Principal Consultants to ensure our project deliverables meet stakeholders' needs while upholding our client's standards for quality and operational maturity.

    Responsibilities
    Provide deep technical expertise and leadership across a range of cloud data technologies. You will be the go-to person for driving tool selection, resolving complex engineering issues, and guiding best practices during engagements.
    Lead the design and implementation of data platforms to meet customers' business requirements.
    Lead whiteboard design sessions with internal and external team members.
    Identify and communicate technical risks as they emerge over the course of a project.
    Work closely with Principal Consultants to extract project requirements during technical discovery sessions, define deliverables to meet those requirements, and break down those deliverables into a technical roadmap.
    Lead teams of data and cloud engineers to execute project roadmaps. Provide guidance on technical tasks, priorities and technical assistance when needed.
    Manage scope within customer engagements. Identify changing requirements as they arise, determine their impact on scope, and ensure all stakeholders are aware and agree with the changes.
    Maintain a close working relationship with the customer, as a "Trusted Advisor". Set clear expectations, challenge assumptions, solicit feedback, and take ownership of project deliverables.
    Building complex ETL code using technologies such as; Spark, Nifi, Glue
    Building real-time streaming solutions leveraging technologies such as: Kafka, Kinesis, Pub Sub and Spark Streaming
    Developing code using Python, Java and Scala languages
    Creating complex data solutions and build data pipelines
    Establishing credibility and build impactful relationships with our customers
    Maintain relevant certifications on cloud technologies and stay informed of key industry trends.

    Qualifications
    3+ years of experience in public cloud environments (AWS, GCP or Azure).
    3 + years of developing code using Python, Java or Scala languages
    Experience with building complex ETL code using technologies such as: Spark, Nifi, Glue
    Experience with building real-time streaming solutions leveraging technologies such as: Kafka, Kinesis, Pub Sub or Spark Streaming
    Strong SQL skills
    Creating complex data solutions and build data pipelines
    Establishing credibility and build impactful relationships with our customers
    Strong communication skills, written and verbal

    Summary
    If you feel your have the right profile for this role please email me your word resume to aaron.lail@randstad.ca

    Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

    Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.