Tech Lead

The DNA Technical Lead is responsible for delivering data and analytics projects with an emphasis on the technical elements. The ideal candidate should have strong technical expertise and excellent leadership skills, with the ability to lead a team working on multiple projects. We are seeking an experienced technical lead who will lead a team of colleagues delivering data warehouse solutions for a diverse set of internal customers. The technical lead should have a strong understanding of data architecture, data integration, data quality, master data management, data governance, data modeling, and other related data services.

Responsibilities:

• 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, on budget, and in a way that accomplishes project goals.
• Work on simultaneous projects without sacrificing delivery.
• Ensure effective migration from development to service delivery.
• 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 and 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.

Requirements:

• 4-year bachelor's degree or equivalent in IT, computer science, science, engineering, statistics, programming, business analytics, mathematics, or a related field
• 9+ years of technology work experience.
• 9+ years of Enterprise BI and Analytics hands-on technical experience implementing data warehouses 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, 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, and 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 the DevOps / CICD framework is a plus.
• Experience with metadata management discipline and practices using Information Steward is a plus.
• Motivated, demonstrates initiative and leadership.
• Able to think critically and be solution-oriented.
• Strong interpersonal skills and ability to work easily with client personnel.
• Works well independently and within a team.
• Great organizational, time management, and problem-solving skills.
• High accountability with a demonstrated ability to deliver.
• Strong communication skills.
• Strong collaboration skills working with architecture, design, and development teams.
• Technical leadership to deliver on time, on cost, and with quality.
• Possesses a professional demeanor.

Skills

Azure Data Factory, Azure Synapse Analytics, ELT, ETL, SQL, SSIS, data marts, data warehouse, data warehousing