Make an impact with MNP Digital as a Data Engineering Manager helping empower our clients with innovative data solutions that unlock insights, drive transformation, and share the future of Data and AI. National in scope and local in focus, MNP is one of Canada’s largest professional service firms providing client-focused accounting, consulting, tax, and digital services to clients. Founded in 1958, MNP today is a CAD 2 billion+ organization with 9600+ employees and 154 offices across Canada. MNP prides itself on being an ‘advisor’ to its clients (individuals, businesses, and organizations), focusing on their success by delivering personalized strategies and solutions that help clients reach their full potential — wherever business takes them. MNP set up MNP SPARK its GCC in Bangalore in May 2025 with a focus on enabling the firm to drive growth, efficiency, customer delight and innovation, by leveraging high quality talent in India. MNP Spark is like any other MNP region/office - front facing, client focused but working with all MNP regions in Canada to deliver services. DIGITAL is the fastest growing service line of MNP and focuses on enabling customers to define build and manage their digital journey. It focuses on enabling the right technology solutions to drive business outcomes for its clients. Digital at MNP Spark is focused on building the core competencies across the technology spectrum to help drive the firms Digital Agenda. Responsibilities: Lead the design and delivery of enterprise-scale data solutions leveraging Microsoft Fabric (Lakehouse, Synapse Data Engineering, Data Factory, Direct Lake, and Power BI). Translate business requirements into scalable, secure, and cost-optimized data platform architectures. Establish data governance, quality, lineage, and stewardship practices using Microsoft Purview and Fabric-native features. Define, document, and enforce best practices for ingestion, transformation, and modeling across the Medallion architecture (Bronze/Silver/Gold layers). Oversee ingestion pipelines, transformation logic, and semantic models, ensuring high performance and scalability. Support pre-sales efforts by providing product, technical, and business expertise for proposals, customer presentations, and/or tailored software demonstrations. Lead delivery teams and mentor a young and talented delivery team, providing them with leadership, knowledge, support, and experience. Partner with stakeholders, architects, and product owners to align data solutions with business objectives. Mentor and manage a pod of engineers (Senior Consultant + Consultant), ensuring skill development and delivery excellence. Collaborate with enterprise IT teams (security, networking, identity, governance) to ensure end-to-end compliance. Contribute to estimation, project planning, and delivery oversight, ensuring projects are completed on time and within scope. Identify opportunities for improvement in our data architecture processes, and proactively recommend strategies for optimization and efficiency. Stay current with advancements in Microsoft Fabric, Databricks, Spark, and Azure Data Services, proactively recommending adoption strategies. Requirements Experience: · 8+ years in data engineering/architecture, with 3–5 years in a leadership or consulting role. · Hands-on expertise with Microsoft Fabric components: o Lakehouse (Delta tables, Medallion architecture) o Synapse Data Engineering (Spark and SQL engines) o Data Factory pipelines and Dataflows o Direct Lake + Power BI for analytics · Strong knowledge of Databricks, Spark, SQL, and ADF for hybrid and migration scenarios. · Experience in providing pre-sales support, including developing proposals and conducting demonstrations for data architecture solutions. · Experience with scoping, estimating, cost analysis, and resource planning of projects. · Experience designing governed data platforms, including metadata, lineage, and security frameworks (Purview or equivalent). · Proficiency in SQL, Python, and PySpark for transformations and data wrangling. · Experience with CI/CD, DevOps practices, and workspace management in Fabric or Azure. · Proven ability to lead teams, manage delivery timelines, and mentor engineers. · Strong communication skills with the ability to present technical solutions to both executive and technical audiences. Required Certifications: · Microsoft Certified: Fabric Data Engineer Associate (DP-700) · Microsoft Certified: Azure Solutions Architect Expert (AZ-305) Educational Qualifications – BE/BTech/MCA
