You Are:As a
Data Migration/ Modernization Lead, you will stand up the data services and streaming components of the platform and prove that data can be ingested, processed and consumed to meet critical business needs. You will deploy and configure the database, streaming and processing components, and build the ingestion and transformation pipelines that carry a priority data source through to curated datasets fit for analytical consumption. You will implement data quality validation, register metadata and lineage in the catalogue, and enable analyst and data science access to the curated data. You will collaborate with the Platform / DevOps Consultants that data components are deployed through the same infrastructure-as-code and pipeline discipline as the rest of the platform, and with the Lead Enterprise Architect on data modelling and ontology for the priority domain. In this role, you are expected to be a subject matter expert in your discipline, work independently against a defined architecture, and contribute to team decisions within your area of responsibility. Advanced proficiency in Data Engineering and Pipeline Implementation is required. Advanced proficiency in Streaming Data Architecture is recommended. Deploy and configure the data services and streaming components of the platform. Build scheduled and event-driven ingestion pipelines, including change data capture, where required. Develop transformation logic and business rules to curate raw data into consumable datasets. Implement data quality rules and automated validation across the pipeline Establish metadata, lineage and access registration.
You know how to come up with strategies, solutions, and processes for managing enterprise-wide data throughout the data life cycle. Your ability to communicate technical concepts to both technical and non-technical stakeholders make you an invaluable asset to any project.
What You9ll Do: - Lead the Technology Solution, Architecture and Delivery of large and/or complex full lifecycle data applications across cloud, hybrid and on-prem landscapes
- Design and build robust data pipelines using scalable Architecture, tools and techniques to produce high quality data structures
- Design data solutions, architect data transformation projects, develop solution blueprints and data modernization/migration plans, document, and present recommendations to clients and/or stakeholders.
- Implement quicker data processing methods and integrate complex business logic compatible with daily or real-time/streaming frameworks
- Increase automation and scaling of complex data sets based on the customer9s analytic use case, such as structured data delivery for business analysis, daily extraction of mission enabling data for data mining/exploration, and transforming data for applied intelligence to power impactful data visualizations
- Drive business and proactive development activities like proposal responses, recruitment, etc.
- Role is hybrid
What You Need:- Minimum 8+ years of experience in implementing data architecture and solutions. Added
- Minimum 5 years of experience delivering and implementing Data & Analytics solutions on Azure, AWS, Google Cloud or On-Prem infrastructure using appropriate services delivering value to the client Added
- Experience as a Data Consultant in solutioning and building scalable data platforms.
- Experience with Microsoft Fabric Data Factory, PySpark, Spark SQL, Delta Lake, Azure Data Factory, Azure Storage, Spark Structured Streaming, Kafka/Azure Event Hub
- Experience with Microsoft Purview, Fabric RTI, Azure Infra (SHIR,VNET), Azure DevOps, Git, CI/CD, Azure Functions
- A bachelor9s degree or completion of a college program in computer science or related field.
- *Eligibility for Canadian Secret Clearance Required*
- English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company9s activities to avoid this requirement.
Bonus Points: - Production implementation experience for all qualifications listed
- Production experience in building real-time analytics applications
- Experience in both batch and stream processing technologies
- Machine learning experience with Spark or similar
- Experience with 1 of the other cloud service providers (Oracle, Informatica) or experience with open-source technologies (Spark, Kafka, Presto, Hive, Cassandra etc.).
- Certified Data Solution Architect in 1 or more Cloud Technologies (AWS, GCP, Azure)
- Ability to manage numerous requests concurrently and be able to prioritize and deliver
#LI-NA-FY25
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location,
role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time
employment, for roles that may be hired as set forth below.
The recruiting efforts for this position are intended to fill a brand new position.
The base pay range shown below is intended as a guideline to reflect the majority of offers for this role.
It does not represent a maximum limit - in some cases, actual compensation may exceed the range where appropriate.
Information on benefits is here.
Role Location Annual Salary Range
British Columbia/Ontario/New Brunswick $108,800 to $220,400
