Engineering Manager - Lead Software Engineer I(Data Analytics)

Summary

Position Summary Engineering Manager (Data & Analytics) –

Lead Software Engineer I Role Overview: As an Engineering Manager , you will actively engage in your data engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in managing data engineering teams to deliver solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftsmanship and advanced proficiency across multiple programming languages and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a role model and engineering mentor, advocating engineering excellence, and leading cross-functional teams to design, develop, test, deploy, and operate advanced software solutions.

Key Responsibilities:

• Embrace and drive a culture of accountability for customer and business outcomes. Lead data engineering teams to deliver solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations.
• Serve as the technical advocate for data products and data engineering teams, promoting and supporting evolutionary releases (e.g., alpha, beta, MVP).Ensure proper planning, code integrity, quality, alignment with customer goals, architecture designs, and NFRs.
• Possess passion and experience as an individual contributor, responsible for fostering a culture of engineering excellence within the team, being hands-on with design, configuration and/or code part of the time, contributing to team velocity. Work daily with the data engineering teams to resolve any issues, blockers, or impediments, perform code reviews and optimizations, maintain coding standards compliance, and ensure that technical debt is addressed continuously within sprints to achieve comprehensive quality. Be self-driven to learn new technologies, experiment with engineers, and inspire the teams to learn and drive application of those new technologies. Mentor and coach product engineering team to cultivate and nurture strong masters of crafts with passion towards product outcomes.
• Lead data engineering teams to develop lean solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams to deliver the right solution for the product in the right way at the right time.
• Exhibit a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.
• Work collaboratively with empowered, cross-functional teams including product management, experience, delivery, infrastructure, and security. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation.
• Possess deep expertise in modern software engineering practices and principles, Agile methodologies, DevSecOps, Continuous Integration/Continuous Deployment, deployment techniques like Blue-Green, Canary to minimize down-time and enable A/B testing approaches. Act as a Role-Model, leveraging these techniques to optimize solutioning and product delivery, ensuring high-quality outcomes with minimal waste. Demonstrate proficiency in product development, from conceptualization and design to implementation and scaling, with a focus on continuous improvement and learning.
• Quickly acquire domain-specific knowledge relevant to the business or product. Translate business and user needs into engineering plans (e.g., sprint plans, enables, tasks, priorities). Navigate various enterprise functions such as business and enabling areas as well as product, experience, delivery, infrastructure, and security to drive product value and feasibility as well as alignment with organizational goals.
• Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence stakeholders at all levels through well-structured arguments and trade-offs supported by evidence, evaluations, and research. Create coherent narratives that align technical solutions with business objectives.
• Engage and collaborate with stakeholders at all organizational levels, from team members to senior executives. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions.

The Team US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.

Qualifications

• A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor.
• Excellent software engineering and product architecture/design foundation with deep understanding of Business Context Diagrams (BCD), sequence/activity/state/ER/DFD diagrams, OOP/OOD, data-structures, algorithms, code instrumentations, etc.
• 10+ years proven experience with industry-leading business intelligence tools like Tableau, SAP BOE, Power BI and Qlik (including add-on products for data and server management).
• 5+ years of experience with cloud-native data and analytics platforms on Azure, AWS or GCP.
• 3+ years of experience with AI/ML and GenAI is preferred.
• Deep understanding of methodologies & tools like XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly.
• Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.
• Strong SQL skills with experience in stored procedures, triggers, functions, and designing tables/views; proficiency with advanced MS Excel (including PivotTables), Word, and PowerPoint.
• Experience with ETL tools (e.g., Alteryx, Informatica, SAP SLT, SAP BODS) and working with both structured and unstructured data; familiarity with R/Python for data preparation and integration is a plus.
• Ability to align technology solutions with business objectives, maintaining a constant awareness of project milestones, client needs, and long-term strategic goals.

How You will Grow: At Deloitte, our professional development plans focus on helping people at every level of their career to identify and use their strengths to do their best work every day and excel in everything they do.

Location : Bengaluru

Shift timing – 11AM to 8PM #CAL-BMT #CA-SK #CAP-PD #CA-SG1

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