Senior Data Analytics Engineer (Manager Level | Individual Contributor)
Paglalarawan ng trabaho
*For Pooling Purposes*
What You'll Do
Lead Enterprise Data Modernization Initiatives
- Drive the migration of legacy reporting and analytics environments to modern cloud-based platforms.
- Analyze existing BI models, SQL workloads, and reporting logic to identify optimization opportunities.
- Convert complex business and reporting logic into scalable cloud-native data solutions.
- Ensure data quality, accuracy, and seamless transition through comprehensive validation and testing.
Design & Build Scalable Data Platforms
- Develop, enhance, and maintain enterprise-grade data pipelines and data products.
- Build efficient data transformation frameworks using modern analytics engineering practices.
- Optimize data models, processing frameworks, and reporting performance.
- Establish scalable solutions that support future analytics, reporting, and machine learning initiatives.
Partner with Business & Analytics Leaders
- Collaborate with data scientists, analysts, and business stakeholders to translate requirements into technical solutions.
- Serve as a trusted advisor on data architecture, reporting strategy, and platform capabilities.
- Support strategic and ad hoc analytics requests through reliable, well-governed data assets.
- Communicate technical concepts effectively to both technical and non-technical audiences.
Drive Operational Excellence
- Implement best practices for data governance, version control, documentation, and deployment.
- Monitor platform performance and proactively identify optimization opportunities.
- Contribute to continuous improvement initiatives across analytics and data engineering functions.
What We're Looking For
Required Qualifications
- Bachelor's degree in Computer Science, Information Technology, Data Analytics, Engineering, or a related field.
- 4+ years of experience in Data Engineering, Analytics Engineering, Business Intelligence, or Data Platform Development.
- Strong expertise in SQL, including advanced query development, optimization, and stored procedure logic.
- Experience working with Power BI, semantic models, and DAX-based reporting environments.
- Hands-on experience with Spark, PySpark, Spark SQL, or similar big data technologies.
- Proficiency in Python for data processing, automation, and analytics.
- Experience using Git and modern software development practices.
- Strong stakeholder management and requirements-gathering skills.
- Excellent verbal and written English communication skills.
Preferred Qualifications
- Experience with Databricks, Delta Lake, Databricks SQL, DLT Pipelines, and Unity Catalog.
- Experience leading or contributing to cloud migration and data modernization initiatives.
- Knowledge of modern data warehousing, lakehouse architecture, and analytics platforms.
- Databricks, Azure, AWS, or related cloud certifications.
- Experience supporting high-volume, customer-facing, or enterprise-scale operations.
- Exposure to analytics, machine learning, or data science environments.
Why Join Us?
Own High-Impact Data Initiatives
Take the lead on strategic data transformation projects that directly influence business performance and decision-making.
Work Directly with Global Leadership
Partner with senior leaders and cross-functional teams in a highly collaborative, fast-paced environment where your expertise is valued.
Shape a Modern Analytics Ecosystem
Play a foundational role in building scalable cloud-based data platforms that enable advanced analytics, AI, and future innovation.
Accelerate Your Career
Gain exposure to modern technologies, enterprise-scale datasets, and complex business challenges while expanding your leadership influence as a senior individual contributor.
Mga kasanayang nabanggit
- Analytics
- Automation
- AWS
- Azure
- Cloud
- Cloud Native
- Data Analytics
- Data Engineering
- Data Governance
- Data Pipelines
- Data Quality
- Data Science
- Data Warehousing
- Databricks
- Delta Lake
- Git
- Lakehouse
- Machine Learning
- Operations Management
- Power BI
- Process Improvement
- Pyspark
- Python
- Reporting & Documentation
- Requirements Gathering
- Spark
- SQL
- Stakeholder Management
- Version Control
At Sutherland, the journey began in 1986 with a singular vision: to be an indispensable partner in our clients' pursuit of excellence. This ethos continues to be the bedrock of our operations. We are an experience-led digital transformation company, dedicated to engineering exceptionally crafted experiences for both customers and employees – experiences that not only meet today's demands but continue to delight tomorrow. Our culture is deeply rooted in a commitment to our clients and to one another, a concept we affectionately call 'One Sutherland.' This signifies a globally unified team, operationally effective and culturally meshed, all driving towards common goals. The core values that steer our every endeavor are agility, innovative 'outside-the-box' thinking, unwavering integrity, and the flawless execution of strategies. These aren't just words on a page; they are the pillars upon which we've built a company that consistently delivers measurable outcomes and accelerates growth for the iconic brands we serve worldwide. For over three decades, Sutherland has been at the forefront of process transformation, helping businesses rethink and rebuild their operations for the digital age. We achieve this by masterfully blending the speed and insight of human-centered design thinking with the scale and precision of real-time analytics, artificial intelligence, cognitive technology, and automation. Our mission extends beyond mere cost reduction; it's about holistically enhancing business performance across various critical processes, including revenue generation, cash flow optimization, and capital utilization. Maximizing customer satisfaction and bolstering our clients' overall competitive edge are paramount. We pride ourselves on a global footprint, with a presence in numerous delivery centers, serving customers across many countries. This global reach, combined with our deep domain expertise and cutting-edge technology, allows us to tailor proven, rapid solutions to fit the unique DNA of each client. Our corporate social responsibility strategy is also integral to our identity, focusing on community upliftment through education and technology, fostering an inclusive and ethical workplace, and promoting environmental sustainability. It's about unlocking new possibilities, forging transformative outcomes, and building enduring relationships.
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