Azure Data Solutions Lead Position Available In Providence, Rhode Island

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Company:
Lighthouse Mtg
Salary:
JobFull-timeOnsite

Job Description

Azure Data Solutions Lead Lighthouse MTG LLC Lincoln, RI Description:
Azure Data Solutions Lead Overview:

We are seeking a dynamic Azure Data Solutions Lead to spearhead the design and implementation of scalable, cloud-based data platforms that support enterprise analytics, data democratization, and actionable insights. This role is central to driving business growth through improved margin, throughput, and operational efficiency by integrating data from diverse sources, including ERP, eCommerce, CRM, and other systems.

Key Responsibilities:
Cloud Platform Design:

Architect and deploy cloud-based data lakes and processing frameworks using Azure services, including Fabric, Databricks, Cosmos, and SQL, supporting real-time and near real-time data ingestion, processing, and reporting.

Data Integration:

Develop strategies to collect, curate, and consolidate structured and unstructured data from multiple systems and sources using modern integration tools and middleware.

Medallion Architecture:

Implement a layered data approach (Bronze, Silver, Gold) to ensure raw data is cleansed, connected, and transformed into consumption-ready datasets for business users.

Collaboration & Governance:

Partner with IT, business stakeholders, and data science teams to define data ownership, enhance data governance, and ensure role-based access control across the organization.

Scalability & Flexibility:

Design solutions that allow for quick scaling in response to evolving business needs while ensuring minimal lead time for system adjustments.

Technology Enablement:

Leverage Azure-native technologies and frameworks (Microsoft’s cloud data ecosystem) to create intuitive tools for data exploration, self-service reporting, and enterprise analytics.

Continuous Improvement:

Identify opportunities for automation, enhanced data quality, and process efficiency to reduce overhead, errors, and waste in data management practices.

Essential Functions:

Serves as a technical subject matter expert in solution architecture domain, providing guidance, training, and consulting services to product teams, projects, and programs. Designs, presents, and administers application and solution architecture strategies, standards, patterns, and architecture principles following defined frameworks and guardrails. Develops and maintains technology roadmaps for future changes to the architecture of IT solutions. Produces high-level frameworks that align an organization’s IT infrastructure with business processes/data to improve the efficiency and productivity of business operations. Provides strategic solution architecture consulting services to developers and leaders throughout the enterprise. Designs and develops IT architecture solutions to business problems, such as integrated processes, applications, and data and technology, in alignment with the enterprise architecture direction and standards. Performs technical planning, architecture development and modification of specifications. Develops specifications for new products/services, applications, and service offerings. Assesses the compatibility and integration of products/services proposed as standards to ensure an integrated architecture across interdependent technologies. Collaborates with digital product managers to create technical solutions aligned with business goals. Researches, evaluates, proposes, and implements new technology and industry trends to optimize operational efficiency, infrastructure flexibility, and operational stability. Conducts technology evaluations, proof of concepts, and proof of values. Evaluates the total cost of ownership and return on investment of various architecture alternatives. Analyzes and recommends types of training that teams need to align with the evolving technology direction. Participates in solution architecture governance activities to maintain architecture artifacts such as catalog of business capabilities and application portfolio. Maps the relationships between information systems components (i.e. end users, business processes, applications, data, IT platform hardware/software, and networks). Identifies key interactions and dependencies across separate systems and platforms.

Required Qualifications:
Experience:

10+ years of experience in the data and cloud transformation space, with a proven track record of leading pre-sales efforts and client-facing roles. Experience in managing large-scale data transformations, cloud migrations, or similar initiatives.

Technical Proficiency:

Strong understanding of cloud platforms (Azure services including Fabric, Databricks, Cosmos, SQL), data engineering, data architecture, data pipelines, big data solutions, and cloud-native services. Familiarity with data lakes, cloud data warehouses, data fabrics, and machine learning is a plus.

Communication & Leadership:

Exceptional communication and presentation skills, with the ability to clearly articulate complex technical concepts to senior executives. Proven ability to influence stakeholders at all levels and communicate a strategic vision for the client’s data and cloud transformation journey.

Problem-Solving & Consulting:

Strong consulting skills with the ability to analyze complex client requirements and provide tailored solutions. Excellent at identifying opportunities for process improvements and driving business transformation through technology.

Pre-Sales & Business Development:

Demonstrated success in pre-sales activities, including responding to RFPs, developing proposals, leading client presentations, and closing new business. Ability to understand client business challenges and align them with the right technical solutions.

Project & Team Management:

Experience in leading and collaborating with cross-functional teams, ensuring timely and successful project delivery. Strong organizational skills and the ability to juggle multiple tasks at once. Hands-on with

Content Creation:

Ability to be hands-on in creating and curating content for proposals, presentations, and client-facing documents. Excellent writing skills to produce clear and concise technical and business content.

Educational Background:

Bachelor’s or Master’s degree in Computer Science, Engineering, Business, or a related field. Certifications (Preferred): Cloud certifications (Azure), Data Engineering or Architecture certifications, or similar industry-recognized qualifications are a plus.

Requirements:
Roles & Responsibilities:
Strategic Vision & Client Engagement:

Lead the development and execution of a data and cloud transformation strategy for customers, showcasing the business value and long-term benefits of adopting modern data and cloud solutions. Interact with senior customer leaders (CXOs, Directors, VPs) to understand their data challenges, objectives, and growth ambitions. Define the client’s data transformation journey, from assessment to execution, offering clear and actionable insights, timelines, and milestones. Propose innovative solutions and strategic roadmaps that align with customer goals and create compelling business cases for the adoption of data and cloud transformation initiatives.

Pre-Sales Leadership:

Serve as a trusted advisor to clients by holding technical discussions, facilitating workshops, and delivering presentations on data and cloud transformation topics. Work closely with sales teams to generate new business opportunities, develop proposals, and lead RFP responses. Collaborate with cross-functional teams, including data architects, cloud engineers, and data scientists, to build client-specific solutions and proposals.

Technical Expertise & Thought Leadership:

Provide high-level technical guidance and direction, leveraging a deep understanding of Azure cloud platforms, data engineering principles, data architecture, cloud-native technologies, and modernization strategies. Maintain a strong technical track record and stay current with the latest trends and technologies in data engineering, cloud computing, data lakes, cloud data platforms, and digital transformation. Be hands-on with creating content, including solution briefs, whitepapers, and pitch decks, to present to clients and internal teams.

Internal Collaboration & Mentorship:

Work closely with internal teams to ensure alignment between pre-sales, technical delivery, and customer expectations. Mentor and guide junior team members and other key stakeholders within the organization, fostering a culture of knowledge-sharing and collaboration. Provide feedback and contribute to the continuous improvement of internal processes, tools, and approaches for delivering Data & Cloud Transformation services.

Customer Relationship Management:

Build and maintain strong relationships with customer stakeholders and decision-makers, ensuring a high level of customer satisfaction throughout the engagement. Identify and drive upsell and cross-sell opportunities within existing accounts by aligning new data and cloud solutions with the client’s evolving business needs. Understand customer pain points, map them to potential solutions, and act as the lead point of contact for technical queries.

Metrics & Reporting:

Develop and track key performance indicators (KPIs) for the successful delivery of the data and cloud transformation roadmap. Measure and communicate the success of data transformation initiatives, providing regular updates to customers and internal stakeholders

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