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14 Admix Jobs
Techical Lead
Admix
posted 5d ago
Job Role Insights
Key skills for the job
Job Description
The Technical Lead will lead a team of colleagues delivering data warehouse solutions for a diverse set of internal customers. Should have a strong understanding of data architecture, data integration, data quality, master data management, data governance, data modeling and other related data services.
Additional responsibilities of this role include the following:
- Lead the technical planning and delivery of multiple projects
- Communicate effectively with business and IT colleagues
- Provide fit-gap recommendations to teams when designing solutions to new requirements
- Deliver projects on time and withinbudget and in a way that accomplishes project goals
- Work on simultaneous projects without sacrificing delivery
- Ensure effective migration from development to service delivery
- Partner with external teams for knowledge transfer in advance of migration to ADM s environment
- Provide status updates for stakeholder reporting
- Work with data mapping, data warehouse, master data management and data visualization teams to ensure successful delivery of enterprise data warehouse solutions
- Anticipate and identify problems, develop ideas and propose solutions within differing situations requiring analytical, evaluative or constructive thinking in daily work
- Prepare and present ideas & recommendations to colleagues and management
- Mentor team members in their use of data ingestion, data mapping, ETL, data modeling and business intelligence tools
- Collaborate across all Data and Analytics functions including Data Governance, Data Architecture and Service Delivery
- Maintain team technical playbooks and Ways of Working
- Load data into data structures using tools such as Azure Data Factory, Synapse, Qlik Replicate, Qlik Compose and other similar toolsets
- Collaborate with reporting architects, data modelers and designers to deliver best in class data and reporting solutions
- Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks
- 4-year bachelors degree or equivalent in IT, Computer Science, Science, Engineering, Statistics, Programming, Business Analytics, Mathematical or related field
- 9+ years of technology work experience
- 9+ of Enterprise BI and Analytics hands-on technical experience implementing data warehouse and data marts in an Agile environment
- Working knowledge of data and analytics architecture, dimensional modeling, data warehousing concepts, data marts and data integration best practices
- Working knowledge of Microsoft Azure Databricks, SAP Datasphere, SSIS, Azure Synapse Analytics, Azure Data Factory, Qlik Replicate, Qlik Compose, Denodo and Power BI
- Solid understanding of ERP data models and data architectures (SAP and JDE preferred) to extract data in support of analytic product development and business transformation projects
- Experience with full Software Development Lifecycle methodologies, expert level of SQL, and working knowledge of ETL and ELT approaches, design and implementation
- Understands and can navigate complex business source systems
- Experience in delivering solutions using iterative development methodologies like Agile, KanBan, DevOps
- Experience working with Big Data technologies such as Spark, Kafka, Databricks, Hive, or equivalent is a plus
- Working knowledge of Python ML libraries like Scikit-learn/PyTorch or Azure ML is a plus
- Experience working in DevOps / CICD framework is a plus
- Experience with metadata management discipline and practices using Information Steward is a plus
- Able to critically think and be solution-oriented
- Strong interpersonal skills and able to work easily with client personnel
- High accountability with a demonstrated ability to deliver
- Strong collaboration skills working with architecture, design and development teams
- Technical leadership to deliver on-time, on-cost, and with quality
Employment Type: Full Time, Permanent
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