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Data Solutions Architect

Company Description

Version 1 has celebrated over 26 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. We’re also an award-winning employer reflecting how employees are at the heart of Version 1. 

We’ve been awarded: Innovation Partner of the Year Winner 2023 Oracle EMEA Partner Awards, Global Microsoft Modernising Applications Partner of the Year Award 2023, AWS Collaboration Partner of the Year - EMEA 2023 and Best Workplaces for Women by Great Place To Work in UK and Ireland 2023. 

As a consultancy and service provider, Version 1 is a digital-first environment and we do things differently. We’re focused on our core values; using these we’ve seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. This creates new opportunities for driven and skilled individuals to join one of the fastest-growing consultancies globally. 

Job Description

As a Data Solution Architect, you will be expected to take an architecture lead role on our client’s solution delivery engagements, with high levels of customer engagement. This will involve ongoing analysis of business requirements throughout the lifetime of the service. Candidates will have a strong understanding of data architecture and analytics design and project delivery life cycles with an emphasis of working in client facing environments.

Typically, the role will involve the following:

  • Translating Business requirements to technical solutions and the production of specifications,
  • Designing and implementing business intelligence & modern data analytics platform technical solutions,
  • Data architecture design and implementation,
  • Data modelling,
  • ETL, data integration and data migration design and implementation,
  • Master data management system and process design and implementation,
  • Data quality system and process design and implementation,
  • Major focus on data science, data visualisation, AI, ML,
  • Documentation of solution (e.g. data modelling, configuration, and setup etc.) including HLD and LLD,
  • Working within a project management/agile delivery methodology,
  • Managing Team Members on a day-to-day basis,
  • Managing technical delivery of solution.

Qualifications

  • Hands on experience with data solution architecture, design, rollout and technical leadership
  • Hands on experience with business intelligence and analytics tools, data modelling, data staging, and data extraction processes, including data warehouse and cloud infrastructure
  • Strong team leadership and/or customer management experience; experience of leading a team of technical resources and developing junior and senior people on the team
  • Cloud experience in AWS or Azure with Databricks experience is desirable
  • Experience and demonstrated competencies with multi-dimensional design, star schemas, facts and dimensions
  • Expertise in logical and physical data warehouse database design, DWH development
  • Experience and demonstrated competencies in ETL development techniques
  • Experience in data warehouse performance optimization
  • Good knowledge and concepts around data science, data visualisation etc. side
  • Experience on projects across a variety of industry sectors an advantage
  • Comprehensive understanding of data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching
  •  Good knowledge of Databricks, Snowflake, Azure / AWS / Oracle cloud, R, Python

Additional Information

At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth, and financial stability. 

One of our standout advantages is the ability to work with a hybrid schedule along with business travel, allowing our employees to strike a balance between work and life. We also offer a range of tech-related benefits, including an innovative Tech Scheme to help keep our team members up-to-date with the latest technology. 

We prioritise the health and safety of our employees, providing private medical and life insurance coverage, as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat. 

Our employee-designed Profit Share scheme divides a portion of our company's profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth.

What You Should Know About Data Solutions Architect, Version 1

Are you ready to take your career to the next level as a Data Solutions Architect with Version 1 in Bengaluru? Join a company that has been a leader in technology services for over 26 years, trusted by global brands to deliver innovative solutions that drive customer success. In this role, you will become the architecture lead on various client solution delivery engagements, keeping a keen eye on stakeholder engagement and business requirements throughout the project lifecycle. You'll be instrumental in translating complex business needs into technical solutions, crafting modern data analytics platforms, and designing robust data architectures. Your expertise will shine through in tasks such as data modelling, ETL processes, data integration, and more. Not stopping there, you’ll also implement master data management systems and establish data quality protocols. Working in a collaborative, agile environment, you will lead a team of skilled professionals, ensuring top-notch technical delivery and fostering growth among team members. With Version 1, you won’t just be writing specs; you’ll be part of a vibrant community focused on innovation, excellence, and professional development, all while enjoying a hybrid working model and an array of benefits. So, if you have hands-on experience with data solutions, a knack for business intelligence tools, and a passion for leveraging data to drive outcomes, join us at Version 1 - where great ideas and great careers thrive together!

Frequently Asked Questions (FAQs) for Data Solutions Architect Role at Version 1
What are the responsibilities of a Data Solutions Architect at Version 1?

As a Data Solutions Architect at Version 1, you'll lead architecture on client engagements, translating business requirements into technical specifications. Your responsibilities include designing and implementing data analytics platforms, data modelling, ETL, and managing team members to ensure successful solution delivery.

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What qualifications are needed to become a Data Solutions Architect at Version 1?

To qualify for the Data Solutions Architect role at Version 1, you should have hands-on experience in data solution architecture, strong knowledge of analytics tools, and experience in cloud platforms like AWS or Azure. Additionally, strong team leadership and customer management skills are essential.

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What kind of projects can a Data Solutions Architect expect to work on at Version 1?

At Version 1, a Data Solutions Architect can expect to work on diverse projects across various sectors, focusing on designing and implementing cutting-edge data architectures, enhancing data quality processes, and integrating advanced data analytics solutions to meet client needs.

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How does Version 1 support the professional growth of its Data Solutions Architects?

Version 1 is committed to the professional growth of its Data Solutions Architects through initiatives like the Pathways Career Development program, incentivized certifications, and access to the latest technology. Employees also benefit from a hybrid work schedule that promotes work-life balance.

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What are the main tools and technologies a Data Solutions Architect at Version 1 should be familiar with?

A Data Solutions Architect at Version 1 should be familiar with tools and technologies such as Databricks, Snowflake, AWS, Azure, and Oracle cloud services, as well as programming languages like R and Python, to effectively design data solutions and analytics platforms.

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Common Interview Questions for Data Solutions Architect
What is your experience with data architecture design as a Data Solutions Architect?

In your response, highlight your hands-on experience and specific projects where you designed data architecture. Discuss your process—for example, how you translate business needs into design specifications and any tools you utilized.

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How do you approach ETL and data integration tasks in your projects?

Outline your strategies for ETL processes, including how you ensure data quality and integrity during integration. Share any specific ETL tools you've employed and the methodologies you find most effective.

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Can you describe a successful project where you implemented a data analytics solution?

Use the STAR method (Situation, Task, Action, Result) to describe a specific project. Emphasize your role as a leader, the challenges faced, the strategies you implemented, and the successful outcomes that followed.

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How do you stay current with the latest trends in data solutions and technologies?

Discuss your methods for continual learning, such as following industry blogs, taking online courses, attending webinars, or participating in professional networks. Mention any relevant certifications you hold that showcase your commitment to professional development.

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What team management strategies do you use when leading a team of technical experts?

In your answer, describe your communication style, how you facilitate collaboration, and encourage professional growth within your team. Highlight any tools or methodologies you adopt to enhance team performance and engagement.

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How do you ensure your data solutions align with business goals?

Emphasize the importance of ongoing communication with stakeholders. Explain how you gather business requirements and ensure they are met throughout the project lifecycle, using metrics to track success.

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What role does data quality play in your work as a Data Solutions Architect?

Discuss your approach to implementing data quality systems, emphasizing processes for data profiling, cleansing, and validation. Explain why data quality is crucial to the overall success of your projects and how it impacts decision-making.

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Describe your experience with cloud platforms and their importance in your current role.

Share your cloud experience, particularly with AWS or Azure, explaining how customized cloud solutions can enhance data processing and analytics. Provide specific examples of cloud projects you've led or participated in.

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What challenges have you faced in previous data solution projects, and how did you overcome them?

Use a real-life example to illustrate a challenge you encountered, explaining the context, your approach to solving it, and the result. This will demonstrate your problem-solving skills and adaptability.

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How do you document your data solutions, and why is this important?

Explain your documentation process and why it’s critical for project success. Highlight the types of documentation you create (e.g., HLD, LLD) and how they serve as references for current and future team members.

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Version 1 proves that IT can make a real difference to our customers' businesses. We are trusted by global brands to deliver IT services and solutions which drive customer success. Our 1000 strong team works closely with our technology partners to...

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Full-time, hybrid
DATE POSTED
January 11, 2025

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