Architect, Data Engineer – SAP, Databricks

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🔥 4 minutes ago

🇺🇸 United States – Remote

💵 $150k - $215k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 0%

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Lovelytics

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

🤖 Artificial Intelligence

🏢 Enterprise

💰 Series unknown on 2023-07

Consulting • Artificial Intelligence • Enterprise

Lovelytics is a data and AI consultancy that helps large enterprises turn data and AI initiatives into measurable business outcomes. Focused 100% on data and AI, the firm offers services including data strategy and advisory, data engineering, data governance and migrations, analytics and visualization, generative AI and ML (including LLMOps and MLOps), and cloud migration/modernization. Lovelytics works with Fortune 500 clients across industries such as energy & utilities, retail/CPG & travel, manufacturing, healthcare & life sciences, communications/media/entertainment & gaming, and financial services, and partners with major platform providers like Databricks, AWS, Microsoft Azure, Google Cloud, and Anthropic.

📋 Description

• Lead the end-to-end architecture, design, and delivery of complex data engineering and SAP integration solutions • Serve as the technical lead on client engagements, owning architectural decisions and aligning solutions with business objectives and technical requirements • Design scalable, secure, and high-performing data architectures leveraging Databricks, AWS, Azure, and other relevant technologies • Architect SAP data integration solutions involving ECC and/or S/4HANA using SAP tables, data structures, and business processes • Define data integration strategies and best practices using SAP Datasphere, BW, HANA, or Business Data Cloud (BDC) • Provide technical oversight of ETL/ELT pipelines, data warehousing, data modeling, and real-time data processing solutions • Establish architectural standards and best practices for data quality, security, governance, CI/CD, and performance optimization • Lead technical discovery sessions, architecture workshops, and solution design discussions with client stakeholders • Partner with Engagement Managers and Delivery Leads on technical scope, project estimates, and implementation strategies • Provide technical guidance and mentorship to engineering teams • Identify technical risks, evaluate architectural tradeoffs, and recommend solutions to complex challenges

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or equivalent professional experience • 8+ years of experience in data engineering, data architecture, or related technical disciplines, including experience leading complex technical solutions • Extensive hands-on experience with Databricks, including designing and implementing scalable data engineering solutions; required • Deep understanding of SAP ERP data architecture (ECC and/or S/4HANA), including underlying tables, data relationships, and business processes • Strong experience with at least one SAP data integration technology: SAP Datasphere, SAP BW, SAP HANA, or SAP Business Data Cloud (BDC) • Proven experience designing SAP-to-cloud data integration solutions and enterprise data architectures • Advanced knowledge of data warehousing, lakehouse architecture, data modeling, ETL/ELT, and cloud technologies (AWS and/or Azure) • Strong understanding of data security, governance, CI/CD, and performance optimization • Demonstrated ability to independently lead technical engagements, guide engineering teams, and make architectural decisions • Excellent client-facing communication skills, with the ability to translate business requirements into technical solutions and present recommendations to stakeholders • Experience working in a consulting or professional services environment preferred • Must be located in the United States; work sponsorship is not available

🏖️ Benefits

• Exciting projects with great clients in varying departments and verticals across the world • The ability to work closely with experienced data engineers and quickly grow and expand your skillset • The ability to work closely with all sizes of companies, ranging from Fortune 100 to small local businesses • A workplace where you are encouraged to challenge the status quo and develop new technologies, methodologies, and processes • A diverse team consisting of data gurus, experience seekers, and entrepreneurial minds that are always pushing to be better • Equal opportunity employer and commitment to pay equity and transparency in compensation practices

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