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Senior Data Solutions Consultant Jobs (On-site work)

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Senior Data Solutions Consultant
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Lead complex data implementations for a premier fintech clientele as a Senior Data Solutions Consultant in Pune. Design scalable ETL solutions and consult on sophisticated investment data challenges using Python and deep financial domain expertise. This pivotal role establishes Addepar's new Indi...
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Location
India , Pune
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Salary
Not provided
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Addepar
Expiration Date
Until further notice
Explore Senior Data Solutions Consultant Jobs and discover a pivotal career at the intersection of data strategy, advanced technology, and client partnership. This senior-level role is designed for experts who architect the data-driven future of organizations, transforming complex business challenges into scalable, intelligent solutions. Professionals in these jobs act as the critical bridge between a client's strategic objectives and the technical execution required to achieve them, ensuring data becomes a reliable and actionable asset. Typically, a Senior Data Solutions Consultant owns the end-to-end delivery of sophisticated data integration and transformation projects. Common responsibilities include leading the design and implementation of data pipelines, migrating and converting data from legacy systems to modern platforms, and crafting tailored data models and workflows that meet unique client requirements. They serve as a trusted advisor, conducting in-depth analyses of client needs, translating business problems into technical specifications, and presenting data-driven recommendations to stakeholders. Beyond direct client engagement, these consultants are internal champions for innovation, often tasked with developing reusable tools, automation scripts, and best practices to elevate their team's efficiency and scalability. Mentoring junior colleagues and influencing cross-functional teams—including sales, product, and engineering—is also a core aspect of the role. To excel in Senior Data Solutions Consultant jobs, a specific blend of technical prowess and business acumen is essential. Candidates typically possess extensive experience (often 5-7+ years) in fields like technology consulting, data engineering, or financial systems. Expert proficiency in programming languages like Python for data manipulation and ETL (Extract, Transform, Load) pipeline development is a standard requirement. A deep understanding of data architecture, cloud platforms (such as AWS, Azure, or GCP), and SQL is fundamental. Crucially, these roles demand strong domain knowledge, frequently in sectors like finance or investment management, encompassing concepts related to asset classes, instruments, and data governance. The ideal profile combines this technical depth with exceptional soft skills: the ability to communicate complex concepts clearly to non-technical audiences, superior client-facing and project management capabilities, and a problem-solving mindset that thrives in ambiguous, fast-paced environments. For those seeking a career that blends deep technical execution with high-level strategy and client impact, Senior Data Solutions Consultant jobs offer a challenging and rewarding path.

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