Senior Data Lead/Data Lead at Ollion

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

18 Dec, 25

Salary

0.0

Posted On

19 Sep, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Cloud Services, Python, SQL, Data Pipelines, Data Governance, ETL, Data Modeling, Agile Methodologies, Collaboration, Problem Solving, Data Warehousing, Real-Time Data Streaming, Technical Leadership, Mentoring, Documentation

Industry

IT Services and IT Consulting

Description

Company Description OUR STORY Let’s be honest: there are lots of people out there doing what we do. We’re just not convinced they’re doing it right. Businesses are hungry for innovation and opportunity, but not at the cost of their independence. At Ollion, we’ve connected companies and capabilities around the world to help ambitious organizations make the most of their transformation and leave the status quo in the dust. WORKING AT OLLION Innovation is risky. It demands bold steps and big questions, but that’s the price of making change. We’ve got our head in the cloud and two feet on the ground, channeling tech’s endless potential towards a single goal: making a world of difference. And we’re building a global team to do just that— a team capable of making game-changing breakthroughs without ever losing sight of the people it will impact. This is more than consulting. This is the change you can be. THE OLLION DIFFERENCE At Ollion, we’re all in on your independence. Our teams are seasoned. Our solutions are straightforward—sometimes even groundbreaking. And our engagements? Exactly as long as you want them to be. We deliver fresh thinking and hard-earned insight in a way that works for you and your customers, arming your organization with everything you need to make your transformation truly mean something. WORKING WITH OLLION (our clients’ experiences) Progress matters more than process. Our global team of cloud-native pros is all about creating new and better ways to work—not just by solving your tech challenges, but by using technology to solve your business challenges. We keep the formulas, frameworks, and ten-point plans to a minimum, tackling your most pressing problems with a proprietary mix of good-old-fashioned ingenuity and refreshing humanity. Job Description Experience: Minimum 10 years of experience in data engineering or related roles, with at least 2+ years in a leadership or engineering management capacity. Key Responsibilities Lead and mentor a team of data engineers, fostering growth, collaboration, and technical excellence across project delivery. Architect, design, and implement scalable data pipelines and processing systems using modern cloud services (AWS, GCP, Azure). Establish and enforce data engineering best practices, standards, and governance frameworks. Collaborate with business stakeholders to understand data needs and deliver actionable, scalable solutions. Drive the technical vision and roadmap for data infrastructure and platforms. Optimize data workflows for performance, reliability, and cost efficiency. Provide technical leadership in data modeling and ETL/ELT design. Conduct code reviews, ensuring scalable and maintainable solutions. Support teams and stakeholders with data-related problem-solving. Communicate technical concepts effectively to technical and non-technical audiences. Design and lead discovery sessions with clients and internal teams for requirement gathering and architecture alignment. Automate and orchestrate complex data pipelines, reducing manual effort. Develop and maintain high-quality documentation of architectures, requirements, and processes. Support pre-sales engagements, including technical solutioning and proposal development. Create reusable frameworks and artifacts to accelerate delivery. Maintain relevant cloud certifications and contribute to thought leadership. Qualifications Technical Skills & Competencies Programming & Querying Expertise Proficiency in Python and SQL is essential, with proven experience in developing scalable data solutions. Strong skills in writing clean, testable, and production-grade code for data transformation and orchestration. Experience with version control systems like Git and collaborative development practices. Familiarity with Scala or Java is a plus, particularly for big data processing frameworks. Data Lake & Data Warehouse Expertise Proven experience in designing and implementing enterprise-grade data lake solutions. Hands-on experience with Cloud Data Engineering (AWS/GCP), Databricks, Delta Lake, and lakehouse architectures. Strong understanding of data warehouse concepts, including star and snowflake schemas. Expertise in query performance tuning, data partitioning, compression, and storage optimization. Understanding of data governance, access control, and security frameworks. Familiarity with medallion architecture or equivalent multi-tier data processing frameworks. Experience with real-time data streaming technologies such as Apache Kafka or AWS Kinesis. Leadership & Soft Skills 2+ years of team leadership or engineering management experience. Demonstrated ability to mentor junior engineers and foster team capability growth. Excellent communication and collaboration skills across cross-functional teams. Strong problem-solving abilities, business acumen, and analytical thinking. Ability to manage multiple priorities in dynamic, fast-paced environments. Customer-focused mindset with strong stakeholder engagement skills. Experience in Agile methodologies and leading sprint planning and retrospectives. Data Engineering Core Principles Expertise in data pipeline architectures, data integration patterns, and orchestration tools. Experience with data validation, testing frameworks, and data quality management. Knowledge of data privacy, compliance, and security best practices. Experience in connecting data pipelines to visualization layers for real-time analytics. Understanding of semantic layer design and self-service data modeling. Experience in end-to-end orchestration of pipelines from source systems to reporting tools. Proficiency in data modeling techniques and database design principles. Industry Knowledge & Certifications Relevant cloud certifications (e.g., AWS Certified Data Analytics or Google Cloud Professional Data Engineer). Understanding of industry-specific data regulations (e.g., GDPR, CCPA, HIPAA) as applicable. Knowledge of emerging trends in data engineering, such as data mesh and data fabric architectures. Additional Information BENEFITS & PERKS FOR WORKING AT OLLION Our employees multiply their potential because they have opportunities to: Create a lasting Impact, Learn and Grow professionally & personally, Experience great Culture, and Be your Whole Self! Beyond an amazing, collaborative work environment, great people, and inspiring, innovative work, we have some great benefits and perks: Benchmarked, competitive, in-market total rewards package including (but not limited to): base salary & short-term incentive for all employees Fully remote-first, small but Global organization; ‘learn wherever, whenever’ frees our people from a rigid view of learning and growth Retirement planning (i.e. CPF, EPF, company-matched 401(k)) Globally, we build benefit plans that offer choices for whatever stage in life our employees are in and allow for flexibility as life happens. Employees have access to a fully comprehensive benefits package to choose the medical, dental, and vision insurance plan that best fits their lives. In addition to great healthcare coverage, we also offer all employees mental health resources and additional wellness programs. Generous time off and leave allowances And more! DIVERSITY AT OLLION One of our cultural keystones, ‘Find the angle’ recognizes that every individual has different aspirations, needs and brings a unique perspective. We value diversity, inclusion, and equity (DE&I) as core to our success. We believe that a diverse workforce brings together unique perspectives, experiences, and ideas, leading to innovation, creativity, and better outcomes for our clients and our organization. We are on a journey and are committed to building a workplace that celebrates and respects individuals from all backgrounds, including but not limited to race, ethnicity, gender, sexual orientation, age, disability, and cultural heritage. As our commitment to diversity and inclusion is reflected in our: Awareness and sensitisation programs: to create awareness and sensitisation. We encourage open dialogue, active listening, and mutual respect, creating a safe and supportive environment for everyone to contribute their unique perspectives and ideas. Dedicated efforts to building diverse teams: that leverage the strength of our differences to tackle complex challenges and drive innovation. By embracing diversity, we broaden our collective knowledge, enhance problem-solving capabilities, and unlock limitless potential for our employees. All your information will be kept confidential according to EEO guidelines. Ollion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all employees. Ollion does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or other non-merit factor. Ollion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all employees. Ollion does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or other non-merit factor.

Responsibilities

Lead and mentor a team of data engineers while architecting and implementing scalable data pipelines. Collaborate with stakeholders to understand data needs and drive the technical vision for data infrastructure.